Overview

Brought to you by YData

Dataset statistics

Number of variables154
Number of observations18
Missing cells0
Missing cells (%)0.0%
Total size in memory21.8 KiB
Average record size in memory1.2 KiB

Variable types

Text3
Numeric151

Alerts

Rating has constant value "BBB" Constant
FundaIndxint has unique values Unique
FundaIndxsga has unique values Unique
monthvwretd has unique values Unique
monthvwretx has unique values Unique
monthewretd has unique values Unique
monthewretx has unique values Unique
monthsprtrn has unique values Unique
monthspindx has unique values Unique
monthCAP1RET has unique values Unique
monthCAP2RET has unique values Unique
monthCAP3RET has unique values Unique
monthCAP4RET has unique values Unique
monthCAP5RET has unique values Unique
monthCAP6RET has unique values Unique
monthCAP7RET has unique values Unique
monthCAP8RET has unique values Unique
monthCAP9RET has unique values Unique
monthCAP10RET has unique values Unique
monthtotval has unique values Unique
monthtotcnt has unique values Unique
monthusdval has unique values Unique
monthusdcnt has unique values Unique
monthprtcnt has unique values Unique
monthtotret has unique values Unique
monthtotind has unique values Unique
monthcapret has unique values Unique
monthcapind has unique values Unique
monthincret has unique values Unique
monthincind has unique values Unique
SPIndvwretd has unique values Unique
SPIndvwretx has unique values Unique
SPIndewretd has unique values Unique
SPIndewretx has unique values Unique
SPIndtotval has unique values Unique
SPIndtotcnt has unique values Unique
SPIndusdval has unique values Unique
SPIndusdcnt has unique values Unique
SPIndspindx has unique values Unique
SPIndsprtrn has unique values Unique
SPporvwretd has unique values Unique
SPporvwretx has unique values Unique
SPporewretd has unique values Unique
SPporewretx has unique values Unique
SPportotval has unique values Unique
SPportotcnt has unique values Unique
SPporusdval has unique values Unique
SPporusdcnt has unique values Unique
SPporspindx has unique values Unique
SPporsprtrn has unique values Unique
usind2CRSPMEV1 has unique values Unique
usind2CRSPMEG1 has unique values Unique
usind2CRSPLCV1 has unique values Unique
usind2CRSPLCG1 has unique values Unique
usind2CRSPMIV1 has unique values Unique
usind2CRSPMIG1 has unique values Unique
usind2CRSPSCV1 has unique values Unique
usind2CRSPSCG1 has unique values Unique
usind2CRSPMEVT has unique values Unique
usind2CRSPMEGT has unique values Unique
usind2CRSPLCVT has unique values Unique
usind2CRSPLCGT has unique values Unique
usind2CRSPMIVT has unique values Unique
usind2CRSPMIGT has unique values Unique
usind2CRSPSCVT has unique values Unique
usind2CRSPSCGT has unique values Unique
stockvwretd has unique values Unique
stockvwretx has unique values Unique
stockvwTotVal has unique values Unique
stockvwUsdVal has unique values Unique
stockvwTotCnt has unique values Unique
stockvwUsdCnt has unique values Unique
stockewretd has unique values Unique
stockewretx has unique values Unique
stockewTotVal has unique values Unique
stockewUsdVal has unique values Unique
stockewTotCnt has unique values Unique
stockewUsdCnt has unique values Unique
stocksprtrn has unique values Unique
ustreb30ret has unique values Unique
ustreb30ind has unique values Unique
ustreb20ret has unique values Unique
ustreb20ind has unique values Unique
ustreb10ret has unique values Unique
ustreb10ind has unique values Unique
ustreb7ret has unique values Unique
ustreb7ind has unique values Unique
ustreb5ret has unique values Unique
ustreb5ind has unique values Unique
ustreb2ret has unique values Unique
ustreb2ind has unique values Unique
ustreb1ret has unique values Unique
ustreb1ind has unique values Unique
ustret90ret has unique values Unique
ustret90ind has unique values Unique
ustret30ret has unique values Unique
ustret30ind has unique values Unique
ustrecpiret has unique values Unique
ajexm has unique values Unique
ajpm has unique values Unique
cshtrm has unique values Unique
prccm has unique values Unique
prchm has unique values Unique
prclm has unique values Unique
trfm has unique values Unique
trt1m has unique values Unique
index_y has unique values Unique
CAPEI has unique values Unique
bm has unique values Unique
evm has unique values Unique
pe_op_basic has unique values Unique
pe_op_dil has unique values Unique
pe_exi has unique values Unique
pe_inc has unique values Unique
ps has unique values Unique
pcf has unique values Unique
npm has unique values Unique
opmbd has unique values Unique
opmad has unique values Unique
gpm has unique values Unique
ptpm has unique values Unique
cfm has unique values Unique
roa has unique values Unique
roe has unique values Unique
roce has unique values Unique
aftret_eq has unique values Unique
aftret_invcapx has unique values Unique
aftret_equity has unique values Unique
GProf has unique values Unique
equity_invcap has unique values Unique
debt_invcap has unique values Unique
totdebt_invcap has unique values Unique
capital_ratio has unique values Unique
cash_lt has unique values Unique
debt_at has unique values Unique
debt_ebitda has unique values Unique
lt_debt has unique values Unique
cash_debt has unique values Unique
lt_ppent has unique values Unique
dltt_be has unique values Unique
debt_assets has unique values Unique
debt_capital has unique values Unique
de_ratio has unique values Unique
at_turn has unique values Unique
rect_turn has unique values Unique
pay_turn has unique values Unique
sale_invcap has unique values Unique
sale_equity has unique values Unique
rd_sale has unique values Unique
adv_sale has unique values Unique
staff_sale has unique values Unique
accrual has unique values Unique

Reproduction

Analysis started2025-03-30 05:15:29.937557
Analysis finished2025-03-30 05:15:32.610710
Duration2.67 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Distinct3
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size288.0 B
2025-03-30T10:45:32.781805image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.666666667
Min length3

Characters and Unicode

Total characters84
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFitch
2nd rowS&P
3rd rowS&P
4th rowMoody's
5th rowMoody's
ValueCountFrequency (%)
s&p 8
44.4%
fitch 5
27.8%
moody's 5
27.8%
2025-03-30T10:45:33.591545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 10
11.9%
S 8
 
9.5%
P 8
 
9.5%
& 8
 
9.5%
i 5
 
6.0%
F 5
 
6.0%
t 5
 
6.0%
c 5
 
6.0%
h 5
 
6.0%
M 5
 
6.0%
Other values (4) 20
23.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 84
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 10
11.9%
S 8
 
9.5%
P 8
 
9.5%
& 8
 
9.5%
i 5
 
6.0%
F 5
 
6.0%
t 5
 
6.0%
c 5
 
6.0%
h 5
 
6.0%
M 5
 
6.0%
Other values (4) 20
23.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 84
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 10
11.9%
S 8
 
9.5%
P 8
 
9.5%
& 8
 
9.5%
i 5
 
6.0%
F 5
 
6.0%
t 5
 
6.0%
c 5
 
6.0%
h 5
 
6.0%
M 5
 
6.0%
Other values (4) 20
23.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 84
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 10
11.9%
S 8
 
9.5%
P 8
 
9.5%
& 8
 
9.5%
i 5
 
6.0%
F 5
 
6.0%
t 5
 
6.0%
c 5
 
6.0%
h 5
 
6.0%
M 5
 
6.0%
Other values (4) 20
23.8%

Rating
Text

Constant 

Distinct1
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size288.0 B
2025-03-30T10:45:33.884793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters54
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBBB
2nd rowBBB
3rd rowBBB
4th rowBBB
5th rowBBB
ValueCountFrequency (%)
bbb 18
100.0%
2025-03-30T10:45:34.580408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 54
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 54
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 54
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B 54
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 54
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B 54
100.0%

FundaIndxint
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1083378388
Minimum-2.093794004
Maximum1.889547656
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:45:34.987267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.093794004
5-th percentile-1.534584797
Q1-0.8517952467
median-0.03646566836
Q30.5014643529
95-th percentile1.443200579
Maximum1.889547656
Range3.98334166
Interquartile range (IQR)1.3532596

Descriptive statistics

Standard deviation1.027450346
Coefficient of variation (CV)-9.483762624
Kurtosis-0.2899931307
Mean-0.1083378388
Median Absolute Deviation (MAD)0.6369595423
Skewness-0.01149079939
Sum-1.950081098
Variance1.055654214
MonotonicityNot monotonic
2025-03-30T10:45:35.446042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.02528762557 1
 
5.6%
0.9105122185 1
 
5.6%
1.364433447 1
 
5.6%
0.1905987051 1
 
5.6%
0.6069757096 1
 
5.6%
-0.3354110241 1
 
5.6%
-1.183039611 1
 
5.6%
0.4497740385 1
 
5.6%
-0.666943375 1
 
5.6%
-1.435900819 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.093794004 1
5.6%
-1.435900819 1
5.6%
-1.183265621 1
5.6%
-1.183039611 1
5.6%
-0.9134125373 1
5.6%
ValueCountFrequency (%)
1.889547656 1
5.6%
1.364433447 1
5.6%
0.9105122185 1
5.6%
0.6069757096 1
5.6%
0.5186944577 1
5.6%

FundaIndxsga
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2103262291
Minimum-1.874468875
Maximum1.554922677
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:45:35.944940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.874468875
5-th percentile-1.585125682
Q1-1.181733257
median-0.05873722997
Q30.3940883239
95-th percentile1.239198374
Maximum1.554922677
Range3.429391551
Interquartile range (IQR)1.575821581

Descriptive statistics

Standard deviation1.026117118
Coefficient of variation (CV)-4.878693076
Kurtosis-1.033887425
Mean-0.2103262291
Median Absolute Deviation (MAD)0.8045976119
Skewness0.02037011789
Sum-3.785872124
Variance1.052916339
MonotonicityNot monotonic
2025-03-30T10:45:36.432023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.7559352818 1
 
5.6%
0.446289348 1
 
5.6%
-0.6689748273 1
 
5.6%
-1.291224362 1
 
5.6%
1.554922677 1
 
5.6%
-1.874468875 1
 
5.6%
0.2289785382 1
 
5.6%
-1.534065119 1
 
5.6%
1.144371535 1
 
5.6%
-1.342007304 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.874468875 1
5.6%
-1.534065119 1
5.6%
-1.419961633 1
5.6%
-1.342007304 1
5.6%
-1.291224362 1
5.6%
ValueCountFrequency (%)
1.554922677 1
5.6%
1.18348232 1
5.6%
1.144371535 1
5.6%
0.7559352818 1
5.6%
0.446289348 1
5.6%

monthvwretd
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1182136228
Minimum-0.9872292077
Maximum2.052452742
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:45:36.870618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9872292077
5-th percentile-0.8693269756
Q1-0.644332822
median-0.09086628326
Q30.4856361388
95-th percentile1.664589414
Maximum2.052452742
Range3.039681949
Interquartile range (IQR)1.129968961

Descriptive statistics

Standard deviation0.9270932744
Coefficient of variation (CV)7.842524849
Kurtosis-0.5343797338
Mean0.1182136228
Median Absolute Deviation (MAD)0.6096788331
Skewness0.7283922074
Sum2.127845211
Variance0.8595019395
MonotonicityNot monotonic
2025-03-30T10:45:37.319978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.142725883 1
 
5.6%
0.3669094171 1
 
5.6%
-0.9872292077 1
 
5.6%
-0.7712054616 1
 
5.6%
-0.4948934276 1
 
5.6%
-0.4474280243 1
 
5.6%
-0.3750106284 1
 
5.6%
-0.6941459535 1
 
5.6%
0.342456918 1
 
5.6%
0.1932780618 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.9872292077 1
5.6%
-0.8485206994 1
5.6%
-0.8129555481 1
5.6%
-0.7712054616 1
5.6%
-0.6941459535 1
5.6%
ValueCountFrequency (%)
2.052452742 1
5.6%
1.596142944 1
5.6%
1.396793579 1
5.6%
1.142725883 1
5.6%
0.5252117127 1
5.6%

monthvwretx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5433943142
Minimum-2.110699521
Maximum2.616699947
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:45:37.750696image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.110699521
5-th percentile-0.8480573842
Q1-0.1447126055
median0.5314591447
Q31.215278658
95-th percentile2.579831201
Maximum2.616699947
Range4.727399468
Interquartile range (IQR)1.359991263

Descriptive statistics

Standard deviation1.153612969
Coefficient of variation (CV)2.122975782
Kurtosis0.7216717146
Mean0.5433943142
Median Absolute Deviation (MAD)0.7437223454
Skewness-0.1108865255
Sum9.781097655
Variance1.330822883
MonotonicityNot monotonic
2025-03-30T10:45:38.148407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.2353187419 1
 
5.6%
0.7860339557 1
 
5.6%
-0.6252381836 1
 
5.6%
0.03563545985 1
 
5.6%
0.7996912226 1
 
5.6%
-0.4887698235 1
 
5.6%
-2.110699521 1
 
5.6%
1.343098818 1
 
5.6%
2.573324952 1
 
5.6%
1.64694901 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.110699521 1
5.6%
-0.6252381836 1
5.6%
-0.4887698235 1
5.6%
-0.2353187419 1
5.6%
-0.1892076595 1
5.6%
ValueCountFrequency (%)
2.616699947 1
5.6%
2.573324952 1
5.6%
1.64694901 1
5.6%
1.479433928 1
5.6%
1.343098818 1
5.6%

monthewretd
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3039079996
Minimum-2.572931241
Maximum1.567594421
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:45:38.546419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.572931241
5-th percentile-1.967713085
Q1-1.158178112
median-0.3466422111
Q30.543607271
95-th percentile1.366011942
Maximum1.567594421
Range4.140525662
Interquartile range (IQR)1.701785383

Descriptive statistics

Standard deviation1.178122661
Coefficient of variation (CV)-3.876576671
Kurtosis-0.900570064
Mean-0.3039079996
Median Absolute Deviation (MAD)0.8597227564
Skewness-0.09055435905
Sum-5.470343992
Variance1.387973004
MonotonicityNot monotonic
2025-03-30T10:45:39.005851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.637966699 1
 
5.6%
0.2501904922 1
 
5.6%
-1.860909881 1
 
5.6%
-0.8808636445 1
 
5.6%
-0.881878895 1
 
5.6%
0.2605289871 1
 
5.6%
0.1822406047 1
 
5.6%
-2.572931241 1
 
5.6%
1.330438563 1
 
5.6%
1.567594421 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.572931241 1
5.6%
-1.860909881 1
5.6%
-1.358711515 1
5.6%
-1.234944394 1
5.6%
-1.177785541 1
5.6%
ValueCountFrequency (%)
1.567594421 1
5.6%
1.330438563 1
5.6%
1.129649485 1
5.6%
0.8678490367 1
5.6%
0.637966699 1
5.6%

monthewretx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2093443515
Minimum-1.61196118
Maximum2.429847729
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:45:39.414016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.61196118
5-th percentile-1.261938674
Q1-0.3643629216
median0.1139918847
Q30.8485286488
95-th percentile1.742129979
Maximum2.429847729
Range4.041808908
Interquartile range (IQR)1.21289157

Descriptive statistics

Standard deviation1.026550868
Coefficient of variation (CV)4.903647319
Kurtosis0.009771368486
Mean0.2093443515
Median Absolute Deviation (MAD)0.5511971271
Skewness0.3686026303
Sum3.768198326
Variance1.053806684
MonotonicityNot monotonic
2025-03-30T10:45:39.940993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.61196118 1
 
5.6%
2.429847729 1
 
5.6%
-0.3565320899 1
 
5.6%
0.9515140629 1
 
5.6%
1.222203346 1
 
5.6%
0.06156862063 1
 
5.6%
0.4667825503 1
 
5.6%
1.367370255 1
 
5.6%
0.2272614091 1
 
5.6%
-0.5074372859 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.61196118 1
5.6%
-1.200169996 1
5.6%
-0.7943025752 1
5.6%
-0.5074372859 1
5.6%
-0.3669731989 1
5.6%
ValueCountFrequency (%)
2.429847729 1
5.6%
1.620768023 1
5.6%
1.367370255 1
5.6%
1.222203346 1
5.6%
0.9515140629 1
5.6%

monthsprtrn
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.276110655
Minimum-1.045912669
Maximum1.444173079
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:45:40.682194image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.045912669
5-th percentile-0.716950559
Q1-0.1935722423
median0.2157912669
Q30.8426253085
95-th percentile1.36995422
Maximum1.444173079
Range2.490085747
Interquartile range (IQR)1.036197551

Descriptive statistics

Standard deviation0.7638037649
Coefficient of variation (CV)2.766295871
Kurtosis-0.9998765633
Mean0.276110655
Median Absolute Deviation (MAD)0.5672046768
Skewness0.156185989
Sum4.969991791
Variance0.5833961914
MonotonicityNot monotonic
2025-03-30T10:45:41.261433image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.4323087312 1
 
5.6%
0.3745851095 1
 
5.6%
-1.045912669 1
 
5.6%
-0.658898422 1
 
5.6%
0.6637372139 1
 
5.6%
-0.534406686 1
 
5.6%
-0.154036716 1
 
5.6%
1.356856774 1
 
5.6%
1.356633382 1
 
5.6%
1.297406115 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.045912669 1
5.6%
-0.658898422 1
5.6%
-0.534406686 1
5.6%
-0.5037044807 1
5.6%
-0.200791866 1
5.6%
ValueCountFrequency (%)
1.444173079 1
5.6%
1.356856774 1
5.6%
1.356633382 1
5.6%
1.297406115 1
5.6%
0.9022546734 1
5.6%

monthspindx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4009427149
Minimum-1.493829641
Maximum2.564057949
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:45:41.776308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.493829641
5-th percentile-1.066577709
Q1-0.2318918746
median0.3567462344
Q31.139861241
95-th percentile1.716820379
Maximum2.564057949
Range4.057887591
Interquartile range (IQR)1.371753116

Descriptive statistics

Standard deviation1.032012787
Coefficient of variation (CV)2.573965679
Kurtosis-0.2538463577
Mean0.4009427149
Median Absolute Deviation (MAD)0.7287942859
Skewness0.1310599292
Sum7.216968867
Variance1.065050393
MonotonicityNot monotonic
2025-03-30T10:45:42.211345image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.194181963 1
 
5.6%
1.378274786 1
 
5.6%
-1.493829641 1
 
5.6%
0.9748502847 1
 
5.6%
-0.2354567222 1
 
5.6%
0.06361775995 1
 
5.6%
-0.629516548 1
 
5.6%
0.1948528212 1
 
5.6%
-0.04162149329 1
 
5.6%
0.6388910459 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.493829641 1
5.6%
-0.9911803096 1
5.6%
-0.629516548 1
5.6%
-0.6247067232 1
5.6%
-0.2354567222 1
5.6%
ValueCountFrequency (%)
2.564057949 1
5.6%
1.567307867 1
5.6%
1.382904434 1
5.6%
1.378274786 1
5.6%
1.194181963 1
5.6%

monthCAP1RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.579812406
Minimum-1.411960977
Maximum2.115755722
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)22.2%
Memory size288.0 B
2025-03-30T10:45:42.681349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.411960977
5-th percentile-1.220439436
Q10.1838007394
median0.5875402093
Q31.280601216
95-th percentile1.789746323
Maximum2.115755722
Range3.527716698
Interquartile range (IQR)1.096800477

Descriptive statistics

Standard deviation0.9711562758
Coefficient of variation (CV)1.674949114
Kurtosis-0.08062642057
Mean0.579812406
Median Absolute Deviation (MAD)0.6401478422
Skewness-0.5267431835
Sum10.43662331
Variance0.943144512
MonotonicityNot monotonic
2025-03-30T10:45:43.121526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.186641517 1
 
5.6%
0.4446551857 1
 
5.6%
0.296458934 1
 
5.6%
0.7420845885 1
 
5.6%
0.9398481035 1
 
5.6%
0.5525240853 1
 
5.6%
1.523684199 1
 
5.6%
0.3719599008 1
 
5.6%
0.1462480078 1
 
5.6%
1.307986637 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.411960977 1
5.6%
-1.186641517 1
5.6%
-0.5629936715 1
5.6%
-0.08185073149 1
5.6%
0.1462480078 1
5.6%
ValueCountFrequency (%)
2.115755722 1
5.6%
1.732215252 1
5.6%
1.685648301 1
5.6%
1.523684199 1
5.6%
1.307986637 1
5.6%

monthCAP2RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4010084166
Minimum-1.065563725
Maximum2.028357192
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:45:43.566705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.065563725
5-th percentile-0.7189414052
Q1-0.3511608907
median0.1816758465
Q30.9853397801
95-th percentile1.962632732
Maximum2.028357192
Range3.093920917
Interquartile range (IQR)1.336500671

Descriptive statistics

Standard deviation0.929208267
Coefficient of variation (CV)2.317178963
Kurtosis-0.8246345931
Mean0.4010084166
Median Absolute Deviation (MAD)0.7256225073
Skewness0.3734668177
Sum7.218151498
Variance0.8634280035
MonotonicityNot monotonic
2025-03-30T10:45:43.974988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.275644483 1
 
5.6%
0.2682168083 1
 
5.6%
1.71676548 1
 
5.6%
-0.6577727606 1
 
5.6%
1.951034298 1
 
5.6%
0.9702988873 1
 
5.6%
-0.4510050301 1
 
5.6%
0.1491772603 1
 
5.6%
-0.623870196 1
 
5.6%
0.771881995 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.065563725 1
5.6%
-0.6577727606 1
5.6%
-0.623870196 1
5.6%
-0.4809461273 1
5.6%
-0.4510050301 1
5.6%
ValueCountFrequency (%)
2.028357192 1
5.6%
1.951034298 1
5.6%
1.71676548 1
5.6%
1.275644483 1
5.6%
0.990353411 1
5.6%

monthCAP3RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08493478925
Minimum-2.416451765
Maximum2.250454768
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:45:44.392193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.416451765
5-th percentile-1.550358263
Q1-0.8037053707
median-0.1970822413
Q30.4369383042
95-th percentile2.246777836
Maximum2.250454768
Range4.666906533
Interquartile range (IQR)1.240643675

Descriptive statistics

Standard deviation1.202056255
Coefficient of variation (CV)-14.15269603
Kurtosis0.379252234
Mean-0.08493478925
Median Absolute Deviation (MAD)0.6671390696
Skewness0.3959446813
Sum-1.528826207
Variance1.44493924
MonotonicityNot monotonic
2025-03-30T10:45:44.833242image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2.246128966 1
 
5.6%
-2.416451765 1
 
5.6%
0.1794168128 1
 
5.6%
-0.4820467948 1
 
5.6%
-1.397518233 1
 
5.6%
0.06316545931 1
 
5.6%
0.5283254342 1
 
5.6%
-0.1438457709 1
 
5.6%
0.4770037194 1
 
5.6%
2.250454768 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.416451765 1
5.6%
-1.397518233 1
5.6%
-1.222237797 1
5.6%
-1.142126543 1
5.6%
-0.8572744197 1
5.6%
ValueCountFrequency (%)
2.250454768 1
5.6%
2.246128966 1
5.6%
1.325269051 1
5.6%
0.5283254342 1
5.6%
0.4770037194 1
5.6%

monthCAP4RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4012575439
Minimum-3.388428083
Maximum1.689690413
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:45:45.230117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.388428083
5-th percentile-2.458144101
Q1-0.787978747
median-0.5149024313
Q30.2991737052
95-th percentile1.508177756
Maximum1.689690413
Range5.078118496
Interquartile range (IQR)1.087152452

Descriptive statistics

Standard deviation1.289973524
Coefficient of variation (CV)-3.214826845
Kurtosis0.4967691523
Mean-0.4012575439
Median Absolute Deviation (MAD)0.6663497583
Skewness-0.5337110899
Sum-7.22263579
Variance1.664031692
MonotonicityNot monotonic
2025-03-30T10:45:45.671679image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.9654079744 1
 
5.6%
-1.951118475 1
 
5.6%
0.1104905387 1
 
5.6%
-0.4992972396 1
 
5.6%
-0.7532982243 1
 
5.6%
-1.190648572 1
 
5.6%
-0.5305076229 1
 
5.6%
1.689690413 1
 
5.6%
0.02612243154 1
 
5.6%
-2.29397634 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-3.388428083 1
5.6%
-2.29397634 1
5.6%
-1.951118475 1
5.6%
-1.190648572 1
5.6%
-0.7995389212 1
5.6%
ValueCountFrequency (%)
1.689690413 1
5.6%
1.476146111 1
5.6%
0.9654079744 1
5.6%
0.7122714895 1
5.6%
0.3515479588 1
5.6%

monthCAP5RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3247861091
Minimum-2.431713571
Maximum1.749241622
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:45:46.078999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.431713571
5-th percentile-1.775114961
Q1-0.8282637141
median-0.2003108844
Q30.3804302911
95-th percentile1.092112348
Maximum1.749241622
Range4.180955193
Interquartile range (IQR)1.208694005

Descriptive statistics

Standard deviation1.030518388
Coefficient of variation (CV)-3.172913985
Kurtosis0.03469319452
Mean-0.3247861091
Median Absolute Deviation (MAD)0.6366544691
Skewness-0.1149024383
Sum-5.846149964
Variance1.061968148
MonotonicityNot monotonic
2025-03-30T10:45:46.466062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.4253290605 1
 
5.6%
-0.5671924188 1
 
5.6%
1.749241622 1
 
5.6%
0.5128436131 1
 
5.6%
-1.387946061 1
 
5.6%
-0.7306819638 1
 
5.6%
0.5086682496 1
 
5.6%
-2.431713571 1
 
5.6%
-1.509421913 1
 
5.6%
0.9761483581 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.431713571 1
5.6%
-1.659244618 1
5.6%
-1.509421913 1
5.6%
-1.387946061 1
5.6%
-0.8479798777 1
5.6%
ValueCountFrequency (%)
1.749241622 1
5.6%
0.9761483581 1
5.6%
0.5128436131 1
5.6%
0.5086682496 1
5.6%
0.4253290605 1
5.6%

monthCAP6RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1018863107
Minimum-2.806217109
Maximum2.62508634
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:45:46.945488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.806217109
5-th percentile-1.628769443
Q1-0.9450219292
median-0.02023403168
Q30.4967434781
95-th percentile1.917095475
Maximum2.62508634
Range5.431303449
Interquartile range (IQR)1.441765407

Descriptive statistics

Standard deviation1.257778666
Coefficient of variation (CV)-12.34492305
Kurtosis0.7602109703
Mean-0.1018863107
Median Absolute Deviation (MAD)0.8214359767
Skewness0.1229215371
Sum-1.833953593
Variance1.582007172
MonotonicityNot monotonic
2025-03-30T10:45:47.433763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.2341375471 1
 
5.6%
-0.973749648 1
 
5.6%
-0.858838773 1
 
5.6%
0.2470266436 1
 
5.6%
0.5391321032 1
 
5.6%
2.62508634 1
 
5.6%
0.7840331805 1
 
5.6%
-0.106061909 1
 
5.6%
-1.07125415 1
 
5.6%
-1.250246498 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.806217109 1
5.6%
-1.420984561 1
5.6%
-1.250246498 1
5.6%
-1.07125415 1
5.6%
-0.973749648 1
5.6%
ValueCountFrequency (%)
2.62508634 1
5.6%
1.792155911 1
5.6%
0.9804849995 1
5.6%
0.7840331805 1
5.6%
0.5391321032 1
5.6%

monthCAP7RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4546301709
Minimum-1.073467678
Maximum1.632652498
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:45:47.938371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.073467678
5-th percentile-0.7711700298
Q1-0.04110941781
median0.6691446452
Q30.9434486344
95-th percentile1.467658986
Maximum1.632652498
Range2.706120175
Interquartile range (IQR)0.9845580522

Descriptive statistics

Standard deviation0.8170661911
Coefficient of variation (CV)1.797210664
Kurtosis-0.8960370281
Mean0.4546301709
Median Absolute Deviation (MAD)0.6313035519
Skewness-0.4062371924
Sum8.183343076
Variance0.6675971607
MonotonicityNot monotonic
2025-03-30T10:45:48.443173image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.428031485 1
 
5.6%
-0.06652851755 1
 
5.6%
-0.7178233861 1
 
5.6%
0.1109560961 1
 
5.6%
0.7869695656 1
 
5.6%
-1.073467678 1
 
5.6%
0.03514788142 1
 
5.6%
-0.4919733691 1
 
5.6%
1.438542485 1
 
5.6%
0.9403216205 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.073467678 1
5.6%
-0.7178233861 1
5.6%
-0.6969397451 1
5.6%
-0.4919733691 1
5.6%
-0.06652851755 1
5.6%
ValueCountFrequency (%)
1.632652498 1
5.6%
1.438542485 1
5.6%
1.428031485 1
5.6%
1.297754985 1
5.6%
0.9444909724 1
5.6%

monthCAP8RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.233909762
Minimum-1.313665309
Maximum2.091284902
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:45:48.872480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.313665309
5-th percentile-1.227655267
Q1-0.4944036779
median0.114959205
Q30.8805250268
95-th percentile2.026339512
Maximum2.091284902
Range3.404950211
Interquartile range (IQR)1.374928705

Descriptive statistics

Standard deviation1.057593387
Coefficient of variation (CV)4.521373446
Kurtosis-0.9783410739
Mean0.233909762
Median Absolute Deviation (MAD)0.7613397939
Skewness0.2576354644
Sum4.210375716
Variance1.118503772
MonotonicityNot monotonic
2025-03-30T10:45:49.328461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.3221395752 1
 
5.6%
-0.861920378 1
 
5.6%
-0.5239965735 1
 
5.6%
1.083178597 1
 
5.6%
0.7367577554 1
 
5.6%
2.014878561 1
 
5.6%
0.2973096457 1
 
5.6%
-0.9231326105 1
 
5.6%
0.867846943 1
 
5.6%
-1.212477025 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.313665309 1
5.6%
-1.212477025 1
5.6%
-0.9231326105 1
5.6%
-0.861920378 1
5.6%
-0.5239965735 1
5.6%
ValueCountFrequency (%)
2.091284902 1
5.6%
2.014878561 1
5.6%
1.457955234 1
5.6%
1.083178597 1
5.6%
0.8847510548 1
5.6%

monthCAP9RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3735862906
Minimum-1.533274604
Maximum2.296443077
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:45:49.784189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.533274604
5-th percentile-1.371459929
Q1-0.599277709
median0.678413553
Q31.243341606
95-th percentile1.79725351
Maximum2.296443077
Range3.829717681
Interquartile range (IQR)1.842619315

Descriptive statistics

Standard deviation1.142617894
Coefficient of variation (CV)3.058511307
Kurtosis-1.071639571
Mean0.3735862906
Median Absolute Deviation (MAD)0.8147796186
Skewness-0.2313109588
Sum6.72455323
Variance1.305575652
MonotonicityNot monotonic
2025-03-30T10:45:50.342615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.709161233 1
 
5.6%
-0.8959988068 1
 
5.6%
-0.6236054349 1
 
5.6%
-1.533274604 1
 
5.6%
2.296443077 1
 
5.6%
-1.342904398 1
 
5.6%
0.9924608315 1
 
5.6%
-0.06407030013 1
 
5.6%
1.480568056 1
 
5.6%
0.7688973632 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.533274604 1
5.6%
-1.342904398 1
5.6%
-1.074899057 1
5.6%
-0.8959988068 1
5.6%
-0.6236054349 1
5.6%
ValueCountFrequency (%)
2.296443077 1
5.6%
1.709161233 1
5.6%
1.505818288 1
5.6%
1.480568056 1
5.6%
1.326968531 1
5.6%

monthCAP10RET
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4884602672
Minimum-1.767297353
Maximum3.08715515
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:45:50.843214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.767297353
5-th percentile-1.322884243
Q1-0.2285259837
median0.609263015
Q31.058152568
95-th percentile2.135787374
Maximum3.08715515
Range4.854452503
Interquartile range (IQR)1.286678552

Descriptive statistics

Standard deviation1.147755806
Coefficient of variation (CV)2.349742411
Kurtosis0.7390119718
Mean0.4884602672
Median Absolute Deviation (MAD)0.4659564111
Skewness0.1126083098
Sum8.792284809
Variance1.317343389
MonotonicityNot monotonic
2025-03-30T10:45:51.361334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3.08715515 1
 
5.6%
1.514636907 1
 
5.6%
-1.767297353 1
 
5.6%
1.070895231 1
 
5.6%
-0.4747736455 1
 
5.6%
1.01992458 1
 
5.6%
0.7462597075 1
 
5.6%
0.1708318984 1
 
5.6%
0.2932621032 1
 
5.6%
0.5648141497 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.767297353 1
5.6%
-1.2444584 1
5.6%
-0.6938683208 1
5.6%
-0.4747736455 1
5.6%
-0.3616452777 1
5.6%
ValueCountFrequency (%)
3.08715515 1
5.6%
1.967898943 1
5.6%
1.514636907 1
5.6%
1.079543621 1
5.6%
1.070895231 1
5.6%

monthtotval
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3823162157
Minimum-1.166008889
Maximum2.052166148
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:45:51.877860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.166008889
5-th percentile-0.8836612393
Q1-0.2103780373
median0.4750548768
Q30.9208912968
95-th percentile1.838384758
Maximum2.052166148
Range3.218175037
Interquartile range (IQR)1.131269334

Descriptive statistics

Standard deviation0.9041689836
Coefficient of variation (CV)2.364976809
Kurtosis-0.573169565
Mean0.3823162157
Median Absolute Deviation (MAD)0.6732691155
Skewness0.05107601892
Sum6.881691882
Variance0.8175215509
MonotonicityNot monotonic
2025-03-30T10:45:52.430302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.014104931 1
 
5.6%
-0.2225418359 1
 
5.6%
0.4703223105 1
 
5.6%
0.6283069255 1
 
5.6%
-1.166008889 1
 
5.6%
1.202627301 1
 
5.6%
0.406085197 1
 
5.6%
1.300737306 1
 
5.6%
2.052166148 1
 
5.6%
1.80065863 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.166008889 1
5.6%
-0.8338351834 1
5.6%
-0.7669866101 1
5.6%
-0.6569106005 1
5.6%
-0.2225418359 1
5.6%
ValueCountFrequency (%)
2.052166148 1
5.6%
1.80065863 1
5.6%
1.300737306 1
5.6%
1.202627301 1
5.6%
1.014104931 1
5.6%

monthtotcnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.504357978
Minimum-1.552377462
Maximum1.837606733
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:45:52.888486image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.552377462
5-th percentile-0.8492197487
Q1-0.0825254907
median0.6098687087
Q31.207501012
95-th percentile1.78251351
Maximum1.837606733
Range3.389984195
Interquartile range (IQR)1.290026503

Descriptive statistics

Standard deviation0.9139093632
Coefficient of variation (CV)1.812025195
Kurtosis-0.09312118136
Mean0.504357978
Median Absolute Deviation (MAD)0.6814691064
Skewness-0.5166813965
Sum9.078443604
Variance0.8352303242
MonotonicityNot monotonic
2025-03-30T10:45:53.407313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.338621734 1
 
5.6%
-0.3434110996 1
 
5.6%
0.1134690367 1
 
5.6%
0.7885486183 1
 
5.6%
0.1764873104 1
 
5.6%
1.097842361 1
 
5.6%
-0.7251330935 1
 
5.6%
1.244053896 1
 
5.6%
0.6287158608 1
 
5.6%
1.837606733 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.552377462 1
5.6%
-0.7251330935 1
5.6%
-0.4718595944 1
5.6%
-0.3434110996 1
5.6%
-0.1478569998 1
5.6%
ValueCountFrequency (%)
1.837606733 1
5.6%
1.772791176 1
5.6%
1.447861436 1
5.6%
1.338621734 1
5.6%
1.244053896 1
5.6%

monthusdval
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1016271709
Minimum-1.704697013
Maximum1.702055154
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:45:53.873918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.704697013
5-th percentile-1.538943397
Q1-0.3278552555
median-0.01831738835
Q30.9808467189
95-th percentile1.434805934
Maximum1.702055154
Range3.406752168
Interquartile range (IQR)1.308701974

Descriptive statistics

Standard deviation1.03542387
Coefficient of variation (CV)10.18845512
Kurtosis-0.7848618774
Mean0.1016271709
Median Absolute Deviation (MAD)0.8020522005
Skewness-0.2374570107
Sum1.829289077
Variance1.07210259
MonotonicityNot monotonic
2025-03-30T10:45:54.332691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1916608917 1
 
5.6%
-0.02943473091 1
 
5.6%
-1.509692759 1
 
5.6%
0.7593879393 1
 
5.6%
1.361210115 1
 
5.6%
1.054666312 1
 
5.6%
0.4686057965 1
 
5.6%
1.387644307 1
 
5.6%
-0.8447164618 1
 
5.6%
-0.2177735824 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.704697013 1
5.6%
-1.509692759 1
5.6%
-1.461556177 1
5.6%
-0.8447164618 1
5.6%
-0.3645491465 1
5.6%
ValueCountFrequency (%)
1.702055154 1
5.6%
1.387644307 1
5.6%
1.361210115 1
5.6%
1.244688046 1
5.6%
1.054666312 1
5.6%

monthusdcnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2505652235
Minimum-2.207563725
Maximum1.011076458
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:45:54.778836image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.207563725
5-th percentile-2.152996784
Q1-0.7580570044
median-0.1253897146
Q30.4697320449
95-th percentile0.9677791991
Maximum1.011076458
Range3.218640183
Interquartile range (IQR)1.227789049

Descriptive statistics

Standard deviation0.9616845056
Coefficient of variation (CV)-3.838060574
Kurtosis-0.07583452253
Mean-0.2505652235
Median Absolute Deviation (MAD)0.6700336992
Skewness-0.7406809676
Sum-4.510174024
Variance0.9248370883
MonotonicityNot monotonic
2025-03-30T10:45:55.218703image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-2.207563725 1
 
5.6%
-1.08381085 1
 
5.6%
-0.8539397084 1
 
5.6%
0.1420154123 1
 
5.6%
-1.289986176 1
 
5.6%
0.9601385065 1
 
5.6%
-0.06787777207 1
 
5.6%
0.6418155302 1
 
5.6%
0.7373731353 1
 
5.6%
-2.143367324 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.207563725 1
5.6%
-2.143367324 1
5.6%
-1.289986176 1
5.6%
-1.08381085 1
5.6%
-0.8539397084 1
5.6%
ValueCountFrequency (%)
1.011076458 1
5.6%
0.9601385065 1
5.6%
0.7373731353 1
5.6%
0.6418155302 1
5.6%
0.4861276901 1
5.6%

monthprtcnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.266688469
Minimum-1.407123995
Maximum1.965341462
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:45:55.653553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.407123995
5-th percentile-1.025120611
Q1-0.4686293712
median0.1359868505
Q31.19284315
95-th percentile1.683867196
Maximum1.965341462
Range3.372465457
Interquartile range (IQR)1.661472521

Descriptive statistics

Standard deviation1.014139176
Coefficient of variation (CV)3.802711006
Kurtosis-1.170498629
Mean0.266688469
Median Absolute Deviation (MAD)0.82437736
Skewness0.0872340359
Sum4.800392441
Variance1.028478268
MonotonicityNot monotonic
2025-03-30T10:45:56.099280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.2672561144 1
 
5.6%
0.7427499618 1
 
5.6%
0.2856898003 1
 
5.6%
-0.8758995777 1
 
5.6%
1.374533455 1
 
5.6%
-0.5008814413 1
 
5.6%
-0.8945326891 1
 
5.6%
1.424462013 1
 
5.6%
0.6462973694 1
 
5.6%
-0.01371609937 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.407123995 1
5.6%
-0.9577082489 1
5.6%
-0.8945326891 1
5.6%
-0.8758995777 1
5.6%
-0.5008814413 1
5.6%
ValueCountFrequency (%)
1.965341462 1
5.6%
1.634195267 1
5.6%
1.424462013 1
5.6%
1.374533455 1
5.6%
1.342874213 1
5.6%

monthtotret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1419654505
Minimum-2.430192127
Maximum1.869615331
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:45:57.038396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.430192127
5-th percentile-2.116655457
Q1-0.7445413688
median-0.5490850961
Q31.020263833
95-th percentile1.546729466
Maximum1.869615331
Range4.299807458
Interquartile range (IQR)1.764805202

Descriptive statistics

Standard deviation1.211016742
Coefficient of variation (CV)-8.530362409
Kurtosis-0.6874521695
Mean-0.1419654505
Median Absolute Deviation (MAD)0.8498388961
Skewness-0.03536110423
Sum-2.555378109
Variance1.46656155
MonotonicityNot monotonic
2025-03-30T10:45:57.463993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-2.430192127 1
 
5.6%
1.869615331 1
 
5.6%
-0.4927495528 1
 
5.6%
-0.7672870902 1
 
5.6%
0.6378967382 1
 
5.6%
-0.6388615279 1
 
5.6%
1.120737445 1
 
5.6%
-0.6763042047 1
 
5.6%
-2.061325456 1
 
5.6%
-0.5804168472 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.430192127 1
5.6%
-2.061325456 1
5.6%
-1.061781054 1
5.6%
-0.8153598903 1
5.6%
-0.7672870902 1
5.6%
ValueCountFrequency (%)
1.869615331 1
5.6%
1.489749607 1
5.6%
1.198835297 1
5.6%
1.120737445 1
5.6%
1.11888162 1
5.6%

monthtotind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4455133447
Minimum-1.261649106
Maximum2.419791733
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:45:57.880712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.261649106
5-th percentile-0.9695548138
Q1-0.1728448172
median0.5366301327
Q31.091069491
95-th percentile1.750894819
Maximum2.419791733
Range3.681440839
Interquartile range (IQR)1.263914308

Descriptive statistics

Standard deviation0.9648726763
Coefficient of variation (CV)2.165754826
Kurtosis-0.2978290462
Mean0.4455133447
Median Absolute Deviation (MAD)0.6484963028
Skewness-0.00867102429
Sum8.019240204
Variance0.9309792814
MonotonicityNot monotonic
2025-03-30T10:45:58.348129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.215321575 1
 
5.6%
0.786540027 1
 
5.6%
0.7045347991 1
 
5.6%
-0.2032360793 1
 
5.6%
1.110117607 1
 
5.6%
-0.9180087622 1
 
5.6%
-0.6894778248 1
 
5.6%
-1.261649106 1
 
5.6%
0.5298806964 1
 
5.6%
0.256257792 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.261649106 1
5.6%
-0.9180087622 1
5.6%
-0.7486802015 1
5.6%
-0.6894778248 1
5.6%
-0.2032360793 1
5.6%
ValueCountFrequency (%)
2.419791733 1
5.6%
1.632854187 1
5.6%
1.290376751 1
5.6%
1.215321575 1
5.6%
1.110117607 1
5.6%

monthcapret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06769566279
Minimum-1.751369957
Maximum1.389955367
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:45:58.795624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.751369957
5-th percentile-1.398312605
Q1-0.09653479462
median0.1612567527
Q30.552126915
95-th percentile1.352646835
Maximum1.389955367
Range3.141325323
Interquartile range (IQR)0.6486617096

Descriptive statistics

Standard deviation0.8488272014
Coefficient of variation (CV)12.53887127
Kurtosis0.3641345802
Mean0.06769566279
Median Absolute Deviation (MAD)0.3530485927
Skewness-0.6310118945
Sum1.21852193
Variance0.7205076178
MonotonicityNot monotonic
2025-03-30T10:45:59.269575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.5899484846 1
 
5.6%
-1.751369957 1
 
5.6%
1.346062977 1
 
5.6%
0.9582884297 1
 
5.6%
1.389955367 1
 
5.6%
0.153440976 1
 
5.6%
0.5992319471 1
 
5.6%
-1.336008367 1
 
5.6%
0.09307987254 1
 
5.6%
-0.06688253846 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.751369957 1
5.6%
-1.336008367 1
5.6%
-1.272294735 1
5.6%
-0.3798469289 1
5.6%
-0.10641888 1
5.6%
ValueCountFrequency (%)
1.389955367 1
5.6%
1.346062977 1
5.6%
0.9582884297 1
5.6%
0.5992319471 1
5.6%
0.5899484846 1
5.6%

monthcapind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.449051641
Minimum-0.9963416822
Maximum1.852564729
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:45:59.802397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9963416822
5-th percentile-0.8948949577
Q1-0.01779791991
median0.4635565782
Q30.8942355734
95-th percentile1.747632262
Maximum1.852564729
Range2.848906411
Interquartile range (IQR)0.9120334933

Descriptive statistics

Standard deviation0.8722579897
Coefficient of variation (CV)1.942444721
Kurtosis-0.7516305413
Mean0.449051641
Median Absolute Deviation (MAD)0.4779885552
Skewness0.07211414597
Sum8.082929538
Variance0.7608340006
MonotonicityNot monotonic
2025-03-30T10:46:00.280413image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.02054537889 1
 
5.6%
0.5332255616 1
 
5.6%
1.512016 1
 
5.6%
0.1892319799 1
 
5.6%
-0.9963416822 1
 
5.6%
0.5869522912 1
 
5.6%
1.690177633 1
 
5.6%
0.9253980908 1
 
5.6%
1.729114768 1
 
5.6%
0.03830058752 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.9963416822 1
5.6%
-0.8769925945 1
5.6%
-0.6929841973 1
5.6%
-0.2167550165 1
5.6%
-0.0305790195 1
5.6%
ValueCountFrequency (%)
1.852564729 1
5.6%
1.729114768 1
5.6%
1.690177633 1
5.6%
1.512016 1
5.6%
0.9253980908 1
5.6%

monthincret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1700441613
Minimum-2.194248244
Maximum1.660042489
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:46:00.768804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.194248244
5-th percentile-2.080730974
Q1-0.6467355891
median-0.3265212568
Q30.5366042361
95-th percentile1.505921441
Maximum1.660042489
Range3.854290733
Interquartile range (IQR)1.183339825

Descriptive statistics

Standard deviation1.080212957
Coefficient of variation (CV)-6.352543649
Kurtosis-0.2678553785
Mean-0.1700441613
Median Absolute Deviation (MAD)0.6044902456
Skewness-0.1295185579
Sum-3.060794903
Variance1.166860032
MonotonicityNot monotonic
2025-03-30T10:46:01.226100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.4074771714 1
 
5.6%
-0.6476321136 1
 
5.6%
0.224848816 1
 
5.6%
0.605885548 1
 
5.6%
1.127712008 1
 
5.6%
-0.4011642056 1
 
5.6%
1.660042489 1
 
5.6%
-2.194248244 1
 
5.6%
-0.2518783079 1
 
5.6%
-0.4840570193 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.194248244 1
5.6%
-2.060698515 1
5.6%
-1.260314291 1
5.6%
-0.8802201908 1
5.6%
-0.6476321136 1
5.6%
ValueCountFrequency (%)
1.660042489 1
5.6%
1.478723609 1
5.6%
1.127712008 1
5.6%
0.8502053671 1
5.6%
0.605885548 1
5.6%

monthincind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04320236424
Minimum-2.115841565
Maximum1.590503345
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:01.693760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.115841565
5-th percentile-1.622797963
Q1-1.04502468
median0.1791941283
Q30.817784
95-th percentile1.508689061
Maximum1.590503345
Range3.70634491
Interquartile range (IQR)1.86280868

Descriptive statistics

Standard deviation1.10699216
Coefficient of variation (CV)-25.62341621
Kurtosis-1.00978258
Mean-0.04320236424
Median Absolute Deviation (MAD)0.7101678778
Skewness-0.3371756855
Sum-0.7776425563
Variance1.225431642
MonotonicityNot monotonic
2025-03-30T10:46:02.152650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.215597996 1
 
5.6%
-1.42458364 1
 
5.6%
0.8870310221 1
 
5.6%
1.590503345 1
 
5.6%
-0.4596768685 1
 
5.6%
0.1896969312 1
 
5.6%
0.8354792218 1
 
5.6%
-0.301781387 1
 
5.6%
1.494251246 1
 
5.6%
0.8969744386 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.115841565 1
5.6%
-1.535790269 1
5.6%
-1.42458364 1
5.6%
-1.223982067 1
5.6%
-1.215597996 1
5.6%
ValueCountFrequency (%)
1.590503345 1
5.6%
1.494251246 1
5.6%
0.8969744386 1
5.6%
0.8870310221 1
5.6%
0.8354792218 1
5.6%

SPIndvwretd
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2767665779
Minimum-1.468336562
Maximum1.485219241
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)72.2%
Memory size288.0 B
2025-03-30T10:46:02.590577image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.468336562
5-th percentile-1.284244518
Q1-0.8592596294
median-0.2411018624
Q30.03687547675
95-th percentile1.166579519
Maximum1.485219241
Range2.953555803
Interquartile range (IQR)0.8961351062

Descriptive statistics

Standard deviation0.8104032364
Coefficient of variation (CV)-2.928110911
Kurtosis-0.02984983584
Mean-0.2767665779
Median Absolute Deviation (MAD)0.5725254704
Skewness0.5825311989
Sum-4.981798401
Variance0.6567534055
MonotonicityNot monotonic
2025-03-30T10:46:02.987818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.2657756965 1
 
5.6%
0.5381329646 1
 
5.6%
-0.7223627395 1
 
5.6%
-1.468336562 1
 
5.6%
1.485219241 1
 
5.6%
1.11034898 1
 
5.6%
-0.5106952698 1
 
5.6%
-0.1192624736 1
 
5.6%
-0.904891926 1
 
5.6%
-0.02582118505 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.468336562 1
5.6%
-1.251757686 1
5.6%
-1.234121135 1
5.6%
-1.067444346 1
5.6%
-0.904891926 1
5.6%
ValueCountFrequency (%)
1.485219241 1
5.6%
1.11034898 1
5.6%
0.5381329646 1
5.6%
0.43388548 1
5.6%
0.05777436401 1
5.6%

SPIndvwretx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2195479398
Minimum-2.106762091
Maximum2.26571269
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:03.439652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.106762091
5-th percentile-1.365417893
Q1-0.6988330863
median0.3406093721
Q31.057551094
95-th percentile1.648636552
Maximum2.26571269
Range4.372474782
Interquartile range (IQR)1.75638418

Descriptive statistics

Standard deviation1.164397879
Coefficient of variation (CV)5.303615602
Kurtosis-0.586976992
Mean0.2195479398
Median Absolute Deviation (MAD)0.8076506922
Skewness-0.2591503368
Sum3.951862917
Variance1.355822421
MonotonicityNot monotonic
2025-03-30T10:46:03.824579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.8009675969 1
 
5.6%
2.26571269 1
 
5.6%
1.539740763 1
 
5.6%
-0.3924295545 1
 
5.6%
0.2174633323 1
 
5.6%
-0.2856395675 1
 
5.6%
0.7658094913 1
 
5.6%
-1.164810939 1
 
5.6%
0.3700028462 1
 
5.6%
-1.234592446 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.106762091 1
5.6%
-1.234592446 1
5.6%
-1.164810939 1
5.6%
-0.9998999263 1
5.6%
-0.8009675969 1
5.6%
ValueCountFrequency (%)
2.26571269 1
5.6%
1.539740763 1
5.6%
1.529366808 1
5.6%
1.194563431 1
5.6%
1.101956697 1
5.6%

SPIndewretd
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1922132198
Minimum-1.75975922
Maximum1.690009934
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:04.189830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.75975922
5-th percentile-1.4079209
Q1-0.5147575736
median0.2035114949
Q30.9687344346
95-th percentile1.275404453
Maximum1.690009934
Range3.449769154
Interquartile range (IQR)1.483492008

Descriptive statistics

Standard deviation0.9461549192
Coefficient of variation (CV)4.922423754
Kurtosis-0.5068556917
Mean0.1922132198
Median Absolute Deviation (MAD)0.7217339472
Skewness-0.4524435774
Sum3.459837957
Variance0.8952091311
MonotonicityNot monotonic
2025-03-30T10:46:04.603603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.345831785 1
 
5.6%
0.271390981 1
 
5.6%
0.8428312447 1
 
5.6%
-0.1713509928 1
 
5.6%
1.124695857 1
 
5.6%
1.20223878 1
 
5.6%
0.7564989278 1
 
5.6%
-0.6739243467 1
 
5.6%
1.690009934 1
 
5.6%
0.1356320088 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.75975922 1
5.6%
-1.345831785 1
5.6%
-0.6739243467 1
5.6%
-0.5214856454 1
5.6%
-0.5149592593 1
5.6%
ValueCountFrequency (%)
1.690009934 1
5.6%
1.20223878 1
5.6%
1.124695857 1
5.6%
1.060395905 1
5.6%
1.010702165 1
5.6%

SPIndewretx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2428326344
Minimum-2.434176386
Maximum2.750723031
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)72.2%
Memory size288.0 B
2025-03-30T10:46:05.063290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.434176386
5-th percentile-1.838502741
Q1-1.176226702
median-0.1865589744
Q3-0.005485228777
95-th percentile1.852126627
Maximum2.750723031
Range5.184899416
Interquartile range (IQR)1.170741473

Descriptive statistics

Standard deviation1.27146465
Coefficient of variation (CV)-5.235971078
Kurtosis0.7889236428
Mean-0.2428326344
Median Absolute Deviation (MAD)0.3424234593
Skewness0.6255762007
Sum-4.370987419
Variance1.616622357
MonotonicityNot monotonic
2025-03-30T10:46:05.487631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.693550791 1
 
5.6%
-1.432939121 1
 
5.6%
-0.2309324499 1
 
5.6%
-1.579414989 1
 
5.6%
-0.142185499 1
 
5.6%
-0.2610461919 1
 
5.6%
0.006284524892 1
 
5.6%
-2.434176386 1
 
5.6%
-0.1110188736 1
 
5.6%
-0.04079448978 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.434176386 1
5.6%
-1.733383862 1
5.6%
-1.579414989 1
5.6%
-1.432939121 1
5.6%
-1.392389528 1
5.6%
ValueCountFrequency (%)
2.750723031 1
5.6%
1.693550791 1
5.6%
1.432872431 1
5.6%
0.1571086945 1
5.6%
0.006284524892 1
5.6%

SPIndtotval
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03725780907
Minimum-1.221495063
Maximum2.077677133
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)66.7%
Memory size288.0 B
2025-03-30T10:46:05.884121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.221495063
5-th percentile-1.069316634
Q1-0.6002294612
median-0.2547826626
Q30.4977746407
95-th percentile1.472614385
Maximum2.077677133
Range3.299172196
Interquartile range (IQR)1.098004102

Descriptive statistics

Standard deviation0.8826750184
Coefficient of variation (CV)-23.69100708
Kurtosis0.4767539126
Mean-0.03725780907
Median Absolute Deviation (MAD)0.5762914368
Skewness0.9375459993
Sum-0.6706405632
Variance0.7791151881
MonotonicityNot monotonic
2025-03-30T10:46:06.312343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.7531841244 1
 
5.6%
1.365838606 1
 
5.6%
0.5305666045 1
 
5.6%
2.077677133 1
 
5.6%
1.036191494 1
 
5.6%
-0.9173492662 1
 
5.6%
-1.221495063 1
 
5.6%
-0.6164523453 1
 
5.6%
-0.5367231101 1
 
5.6%
-0.03515322693 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.221495063 1
5.6%
-1.042461617 1
5.6%
-0.9173492662 1
5.6%
-0.7531841244 1
5.6%
-0.6164523453 1
5.6%
ValueCountFrequency (%)
2.077677133 1
5.6%
1.365838606 1
5.6%
1.036191494 1
5.6%
0.5893493774 1
5.6%
0.5305666045 1
5.6%

SPIndtotcnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1483633534
Minimum-0.6279825865
Maximum1.659095521
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:06.741649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6279825865
5-th percentile-0.577171952
Q1-0.3363981766
median-0.06824429292
Q30.6122533333
95-th percentile1.128498606
Maximum1.659095521
Range2.287078107
Interquartile range (IQR)0.9486515099

Descriptive statistics

Standard deviation0.6323656015
Coefficient of variation (CV)4.262276277
Kurtosis0.1609691105
Mean0.1483633534
Median Absolute Deviation (MAD)0.3991432652
Skewness0.8579424522
Sum2.670540361
Variance0.399886254
MonotonicityNot monotonic
2025-03-30T10:46:07.172528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.659095521 1
 
5.6%
0.1777848538 1
 
5.6%
0.3476652464 1
 
5.6%
-0.2435104559 1
 
5.6%
0.01536477589 1
 
5.6%
-0.1545389942 1
 
5.6%
-0.4506212841 1
 
5.6%
1.034863857 1
 
5.6%
0.8214544293 1
 
5.6%
0.4460309553 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.6279825865 1
5.6%
-0.5682053694 1
5.6%
-0.4506212841 1
5.6%
-0.3943272992 1
5.6%
-0.3594887902 1
5.6%
ValueCountFrequency (%)
1.659095521 1
5.6%
1.034863857 1
5.6%
0.8214544293 1
5.6%
0.718274407 1
5.6%
0.6676607926 1
5.6%

SPIndusdval
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007199133789
Minimum-2.273950209
Maximum2.648143986
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:07.569955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.273950209
5-th percentile-1.170500863
Q1-0.382328918
median-0.02690153101
Q30.4160923676
95-th percentile1.162712743
Maximum2.648143986
Range4.922094195
Interquartile range (IQR)0.7984212856

Descriptive statistics

Standard deviation0.9949675777
Coefficient of variation (CV)138.2065686
Kurtosis3.118738232
Mean0.007199133789
Median Absolute Deviation (MAD)0.4287378242
Skewness0.3877508584
Sum0.1295844082
Variance0.9899604807
MonotonicityNot monotonic
2025-03-30T10:46:07.975292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.4237754556 1
 
5.6%
-0.08857903082 1
 
5.6%
-0.1416697854 1
 
5.6%
-0.1420898751 1
 
5.6%
-2.273950209 1
 
5.6%
2.648143986 1
 
5.6%
0.9005778182 1
 
5.6%
0.3733241445 1
 
5.6%
0.7617271294 1
 
5.6%
-0.7942169986 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.273950209 1
5.6%
-0.9757745074 1
5.6%
-0.8413311618 1
5.6%
-0.7942169986 1
5.6%
-0.4237754556 1
5.6%
ValueCountFrequency (%)
2.648143986 1
5.6%
0.9005778182 1
5.6%
0.7617271294 1
5.6%
0.4810532911 1
5.6%
0.4303484419 1
5.6%

SPIndusdcnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07680699597
Minimum-2.344970383
Maximum2.100978773
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:46:08.373380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.344970383
5-th percentile-2.30535754
Q1-0.1608563068
median0.3339155234
Q30.6464654606
95-th percentile1.728695912
Maximum2.100978773
Range4.445949156
Interquartile range (IQR)0.8073217674

Descriptive statistics

Standard deviation1.293679247
Coefficient of variation (CV)16.84324755
Kurtosis0.09554307518
Mean0.07680699597
Median Absolute Deviation (MAD)0.3992356821
Skewness-0.7212390646
Sum1.382525928
Variance1.673605994
MonotonicityNot monotonic
2025-03-30T10:46:08.786065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.4447322342 1
 
5.6%
0.08715394038 1
 
5.6%
1.642024215 1
 
5.6%
-0.9499579542 1
 
5.6%
-0.2435263892 1
 
5.6%
0.1611661695 1
 
5.6%
2.100978773 1
 
5.6%
1.662998937 1
 
5.6%
0.5394539424 1
 
5.6%
0.6821359667 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.344970383 1
5.6%
-2.298367038 1
5.6%
-2.201666137 1
5.6%
-0.9499579542 1
5.6%
-0.2435263892 1
5.6%
ValueCountFrequency (%)
2.100978773 1
5.6%
1.662998937 1
5.6%
1.642024215 1
5.6%
0.7841664442 1
5.6%
0.6821359667 1
5.6%

SPIndspindx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5231108082
Minimum-0.6761107353
Maximum2.08934265
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:46:09.155719image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6761107353
5-th percentile-0.6355023368
Q1-0.2161342917
median0.3894936683
Q31.112675067
95-th percentile1.935038868
Maximum2.08934265
Range2.765453385
Interquartile range (IQR)1.328809359

Descriptive statistics

Standard deviation0.9029693214
Coefficient of variation (CV)1.726153059
Kurtosis-1.112644965
Mean0.5231108082
Median Absolute Deviation (MAD)0.7137662355
Skewness0.3376257425
Sum9.415994547
Variance0.8153535955
MonotonicityNot monotonic
2025-03-30T10:46:09.573606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.759697192 1
 
5.6%
0.105862398 1
 
5.6%
1.12209023 1
 
5.6%
0.05505462199 1
 
5.6%
-0.358182564 1
 
5.6%
-0.3022964325 1
 
5.6%
0.9366603098 1
 
5.6%
0.04235213077 1
 
5.6%
1.533164117 1
 
5.6%
2.08934265 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.6761107353 1
5.6%
-0.6283361488 1
5.6%
-0.5779853864 1
5.6%
-0.358182564 1
5.6%
-0.3022964325 1
5.6%
ValueCountFrequency (%)
2.08934265 1
5.6%
1.907808789 1
5.6%
1.759697192 1
5.6%
1.533164117 1
5.6%
1.12209023 1
5.6%

SPIndsprtrn
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3445224527
Minimum-0.8583553541
Maximum1.256685806
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:09.989298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8583553541
5-th percentile-0.591597138
Q1-0.2724041596
median0.3962466385
Q30.9598402235
95-th percentile1.202585668
Maximum1.256685806
Range2.11504116
Interquartile range (IQR)1.232244383

Descriptive statistics

Standard deviation0.6715823608
Coefficient of variation (CV)1.949313769
Kurtosis-1.321598018
Mean0.3445224527
Median Absolute Deviation (MAD)0.6428462679
Skewness-0.1882933506
Sum6.201404149
Variance0.4510228673
MonotonicityNot monotonic
2025-03-30T10:46:10.389825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.8583553541 1
 
5.6%
-0.5445221587 1
 
5.6%
0.8168387096 1
 
5.6%
0.6108976739 1
 
5.6%
-0.3516251679 1
 
5.6%
1.256685806 1
 
5.6%
0.793608687 1
 
5.6%
1.193038585 1
 
5.6%
-0.3219925273 1
 
5.6%
1.119790351 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.8583553541 1
5.6%
-0.5445221587 1
5.6%
-0.3516251679 1
5.6%
-0.3219925273 1
5.6%
-0.2881721462 1
5.6%
ValueCountFrequency (%)
1.256685806 1
5.6%
1.193038585 1
5.6%
1.119790351 1
5.6%
1.060592336 1
5.6%
1.007507395 1
5.6%

SPporvwretd
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04593699943
Minimum-1.535018763
Maximum1.458204488
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:10.770873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.535018763
5-th percentile-1.351457097
Q1-0.50108259
median0.04971128142
Q30.7897083428
95-th percentile1.443227992
Maximum1.458204488
Range2.993223251
Interquartile range (IQR)1.290790933

Descriptive statistics

Standard deviation0.9284790332
Coefficient of variation (CV)20.21200873
Kurtosis-0.9248272103
Mean0.04593699943
Median Absolute Deviation (MAD)0.6852265913
Skewness0.03690922406
Sum0.8268659897
Variance0.8620733152
MonotonicityNot monotonic
2025-03-30T10:46:11.185583image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.4666273876 1
 
5.6%
-0.01264381234 1
 
5.6%
-0.3968382207 1
 
5.6%
0.1414405129 1
 
5.6%
1.348880347 1
 
5.6%
-1.064998825 1
 
5.6%
-1.319063861 1
 
5.6%
0.9839226814 1
 
5.6%
0.2943411876 1
 
5.6%
0.873771996 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.535018763 1
5.6%
-1.319063861 1
5.6%
-1.064998825 1
5.6%
-0.7584629623 1
5.6%
-0.5125676574 1
5.6%
ValueCountFrequency (%)
1.458204488 1
5.6%
1.440585081 1
5.6%
1.348880347 1
5.6%
0.9839226814 1
5.6%
0.873771996 1
5.6%

SPporvwretx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1706459421
Minimum-1.460959254
Maximum2.185779812
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:11.649485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.460959254
5-th percentile-0.8931492609
Q1-0.19788178
median0.2398798076
Q30.4218921009
95-th percentile1.295001921
Maximum2.185779812
Range3.646739067
Interquartile range (IQR)0.6197738809

Descriptive statistics

Standard deviation0.8033452049
Coefficient of variation (CV)4.707672478
Kurtosis1.706500086
Mean0.1706459421
Median Absolute Deviation (MAD)0.4310220796
Skewness0.4446466529
Sum3.071626957
Variance0.6453635182
MonotonicityNot monotonic
2025-03-30T10:46:12.089974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.2046212879 1
 
5.6%
-0.1137385732 1
 
5.6%
-0.07139186831 1
 
5.6%
0.3262697829 1
 
5.6%
0.8962839601 1
 
5.6%
0.3369929109 1
 
5.6%
-0.2379007518 1
 
5.6%
-1.460959254 1
 
5.6%
1.137805823 1
 
5.6%
0.1685583013 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.460959254 1
5.6%
-0.7929474973 1
5.6%
-0.7347030367 1
5.6%
-0.2379007518 1
5.6%
-0.2046212879 1
5.6%
ValueCountFrequency (%)
2.185779812 1
5.6%
1.137805823 1
5.6%
0.8962839601 1
5.6%
0.710003259 1
5.6%
0.4474555421 1
5.6%

SPporewretd
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1070826992
Minimum-2.269373929
Maximum2.631440405
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:46:12.553904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.269373929
5-th percentile-1.802925433
Q1-0.8454276678
median-0.2210962595
Q30.5482460419
95-th percentile1.936623865
Maximum2.631440405
Range4.900814335
Interquartile range (IQR)1.39367371

Descriptive statistics

Standard deviation1.233603594
Coefficient of variation (CV)-11.52010178
Kurtosis0.2368849278
Mean-0.1070826992
Median Absolute Deviation (MAD)0.7472462165
Skewness0.4819831293
Sum-1.927488586
Variance1.521777828
MonotonicityNot monotonic
2025-03-30T10:46:12.956924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.9231222678 1
 
5.6%
1.202056601 1
 
5.6%
-0.2499749186 1
 
5.6%
0.5703421268 1
 
5.6%
-1.720610992 1
 
5.6%
0.02892686406 1
 
5.6%
-0.8117587769 1
 
5.6%
-0.8566506314 1
 
5.6%
-1.093486734 1
 
5.6%
-1.274991451 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.269373929 1
5.6%
-1.720610992 1
5.6%
-1.274991451 1
5.6%
-1.093486734 1
5.6%
-0.8566506314 1
5.6%
ValueCountFrequency (%)
2.631440405 1
5.6%
1.814009181 1
5.6%
1.202056601 1
5.6%
0.9231222678 1
5.6%
0.5703421268 1
5.6%

SPporewretx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1277037797
Minimum-1.392276181
Maximum1.802660951
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:13.375793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.392276181
5-th percentile-1.237474898
Q1-0.2378113234
median0.1554089818
Q30.505160146
95-th percentile1.377903658
Maximum1.802660951
Range3.194937132
Interquartile range (IQR)0.7429714694

Descriptive statistics

Standard deviation0.8478829916
Coefficient of variation (CV)6.639451029
Kurtosis-0.06827268684
Mean0.1277037797
Median Absolute Deviation (MAD)0.3927605907
Skewness-0.006038453315
Sum2.298668035
Variance0.7189055674
MonotonicityNot monotonic
2025-03-30T10:46:13.805681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.2364321801 1
 
5.6%
-0.04711011563 1
 
5.6%
-0.2382710378 1
 
5.6%
-1.392276181 1
 
5.6%
0.2725691172 1
 
5.6%
1.139612941 1
 
5.6%
0.5305025742 1
 
5.6%
0.8358210687 1
 
5.6%
-0.3393770063 1
 
5.6%
-1.210157024 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.392276181 1
5.6%
-1.210157024 1
5.6%
-1.076042779 1
5.6%
-0.3393770063 1
5.6%
-0.2382710378 1
5.6%
ValueCountFrequency (%)
1.802660951 1
5.6%
1.302946489 1
5.6%
1.139612941 1
5.6%
0.8358210687 1
5.6%
0.5305025742 1
5.6%

SPportotval
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1504558192
Minimum-1.645923846
Maximum0.9309592859
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:46:14.237869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.645923846
5-th percentile-1.422857094
Q1-0.5288580146
median-0.04056606134
Q30.2635338281
95-th percentile0.7539567254
Maximum0.9309592859
Range2.576883132
Interquartile range (IQR)0.7923918427

Descriptive statistics

Standard deviation0.6933080511
Coefficient of variation (CV)-4.608050755
Kurtosis0.1375766626
Mean-0.1504558192
Median Absolute Deviation (MAD)0.4121897669
Skewness-0.6316362064
Sum-2.708204745
Variance0.4806760538
MonotonicityNot monotonic
2025-03-30T10:46:14.696588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.645923846 1
 
5.6%
0.655971465 1
 
5.6%
-0.02302245844 1
 
5.6%
0.9309592859 1
 
5.6%
-0.02528722186 1
 
5.6%
-0.05584490082 1
 
5.6%
0.03311461139 1
 
5.6%
-1.383492373 1
 
5.6%
0.7227209795 1
 
5.6%
0.09302961959 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.645923846 1
5.6%
-1.383492373 1
5.6%
-0.9026039869 1
5.6%
-0.7347062559 1
5.6%
-0.6292675989 1
5.6%
ValueCountFrequency (%)
0.9309592859 1
5.6%
0.7227209795 1
5.6%
0.655971465 1
5.6%
0.4228788468 1
5.6%
0.3203685643 1
5.6%

SPportotcnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2374120326
Minimum-2.61929895
Maximum1.837238393
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:46:15.124347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.61929895
5-th percentile-1.67320002
Q1-0.699627882
median-0.51409691
Q30.5248977234
95-th percentile1.522386513
Maximum1.837238393
Range4.456537342
Interquartile range (IQR)1.224525605

Descriptive statistics

Standard deviation1.066227587
Coefficient of variation (CV)-4.491042748
Kurtosis0.5632668993
Mean-0.2374120326
Median Absolute Deviation (MAD)0.6469968844
Skewness-0.05401503853
Sum-4.273416587
Variance1.136841268
MonotonicityNot monotonic
2025-03-30T10:46:15.542863image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.6663091219 1
 
5.6%
-0.6836977853 1
 
5.6%
0.1588319397 1
 
5.6%
0.3625425701 1
 
5.6%
-1.135161829 1
 
5.6%
-0.8691939786 1
 
5.6%
-2.61929895 1
 
5.6%
0.63478264 1
 
5.6%
-0.6292727908 1
 
5.6%
0.5945210755 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.61929895 1
5.6%
-1.506241386 1
5.6%
-1.135161829 1
5.6%
-0.8691939786 1
5.6%
-0.7049379142 1
5.6%
ValueCountFrequency (%)
1.837238393 1
5.6%
1.466824416 1
5.6%
0.63478264 1
5.6%
0.5945210755 1
5.6%
0.5790161078 1
5.6%

SPporusdval
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003960334749
Minimum-0.9621989493
Maximum1.209949259
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:15.959319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9621989493
5-th percentile-0.8283970739
Q1-0.4858289682
median0.07947544361
Q30.4056705059
95-th percentile0.7488861846
Maximum1.209949259
Range2.172148208
Interquartile range (IQR)0.8914994741

Descriptive statistics

Standard deviation0.6002224454
Coefficient of variation (CV)-151.558513
Kurtosis-0.6425926758
Mean-0.003960334749
Median Absolute Deviation (MAD)0.5466332598
Skewness0.1308071148
Sum-0.07128602548
Variance0.360266984
MonotonicityNot monotonic
2025-03-30T10:46:16.373229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.6470983933 1
 
5.6%
-0.9621989493 1
 
5.6%
1.209949259 1
 
5.6%
0.04440721279 1
 
5.6%
0.2738572804 1
 
5.6%
-0.1326624163 1
 
5.6%
-0.4770407408 1
 
5.6%
-0.6477900448 1
 
5.6%
0.1511796431 1
 
5.6%
0.4496082477 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.9621989493 1
5.6%
-0.8047849782 1
5.6%
-0.7522800045 1
5.6%
-0.6477900448 1
5.6%
-0.4887583774 1
5.6%
ValueCountFrequency (%)
1.209949259 1
5.6%
0.6675221127 1
5.6%
0.6470983933 1
5.6%
0.6162257788 1
5.6%
0.4496082477 1
5.6%

SPporusdcnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.169238255
Minimum-3.047777312
Maximum2.353092449
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:16.796828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.047777312
5-th percentile-2.203440786
Q1-0.4525672173
median-0.02284509697
Q30.2468902182
95-th percentile1.232998351
Maximum2.353092449
Range5.400869761
Interquartile range (IQR)0.6994574354

Descriptive statistics

Standard deviation1.167756109
Coefficient of variation (CV)-6.900071787
Kurtosis2.063294465
Mean-0.169238255
Median Absolute Deviation (MAD)0.4037510371
Skewness-0.5239926788
Sum-3.04628859
Variance1.363654329
MonotonicityNot monotonic
2025-03-30T10:46:17.248537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.2544017717 1
 
5.6%
0.7346328547 1
 
5.6%
1.035334687 1
 
5.6%
-0.9242924589 1
 
5.6%
0.2243555577 1
 
5.6%
-0.2988203874 1
 
5.6%
0.558136723 1
 
5.6%
-0.1057903879 1
 
5.6%
-3.047777312 1
 
5.6%
0.1344125279 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-3.047777312 1
5.6%
-2.054440222 1
5.6%
-1.073439119 1
5.6%
-0.9242924589 1
5.6%
-0.4785383004 1
5.6%
ValueCountFrequency (%)
2.353092449 1
5.6%
1.035334687 1
5.6%
0.7346328547 1
5.6%
0.558136723 1
5.6%
0.2544017717 1
5.6%

SPporspindx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1217951427
Minimum-2.101704328
Maximum1.754811876
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:17.688308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.101704328
5-th percentile-2.048486835
Q1-0.7200015476
median-0.03598983012
Q30.455129994
95-th percentile1.495004894
Maximum1.754811876
Range3.856516204
Interquartile range (IQR)1.175131542

Descriptive statistics

Standard deviation1.079700317
Coefficient of variation (CV)-8.864888151
Kurtosis-0.2398820126
Mean-0.1217951427
Median Absolute Deviation (MAD)0.6734573822
Skewness-0.1325167787
Sum-2.192312568
Variance1.165752775
MonotonicityNot monotonic
2025-03-30T10:46:18.135901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.7693345841 1
 
5.6%
-0.2938535607 1
 
5.6%
1.264468491 1
 
5.6%
1.754811876 1
 
5.6%
0.0004179637781 1
 
5.6%
0.009120719502 1
 
5.6%
-1.206413034 1
 
5.6%
-0.262611357 1
 
5.6%
-0.07239762403 1
 
5.6%
0.08777943481 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.101704328 1
5.6%
-2.039095513 1
5.6%
-1.206413034 1
5.6%
-1.006166912 1
5.6%
-0.7693345841 1
5.6%
ValueCountFrequency (%)
1.754811876 1
5.6%
1.449156603 1
5.6%
1.264468491 1
5.6%
0.9150499827 1
5.6%
0.5775801803 1
5.6%

SPporsprtrn
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3121493503
Minimum-0.6857684078
Maximum1.638046945
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:46:18.597563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6857684078
5-th percentile-0.5639694786
Q1-0.1494328732
median0.2038488689
Q30.7413453644
95-th percentile1.227907193
Maximum1.638046945
Range2.323815352
Interquartile range (IQR)0.8907782376

Descriptive statistics

Standard deviation0.6404623755
Coefficient of variation (CV)2.051781863
Kurtosis-0.5292005421
Mean0.3121493503
Median Absolute Deviation (MAD)0.4421621504
Skewness0.4605998181
Sum5.618688305
Variance0.4101920544
MonotonicityNot monotonic
2025-03-30T10:46:19.078576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.3834362626 1
 
5.6%
1.124285368 1
 
5.6%
-0.240138914 1
 
5.6%
-0.06786623107 1
 
5.6%
-0.2364876489 1
 
5.6%
0.7387965172 1
 
5.6%
1.638046945 1
 
5.6%
1.043061377 1
 
5.6%
0.309968661 1
 
5.6%
0.00434086505 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.6857684078 1
5.6%
-0.5424755499 1
5.6%
-0.240138914 1
5.6%
-0.2364876489 1
5.6%
-0.176621754 1
5.6%
ValueCountFrequency (%)
1.638046945 1
5.6%
1.155529589 1
5.6%
1.124285368 1
5.6%
1.043061377 1
5.6%
0.7421949801 1
5.6%

usind2CRSPMEV1
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4954407236
Minimum-2.102901731
Maximum2.052841613
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)22.2%
Memory size288.0 B
2025-03-30T10:46:19.544112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.102901731
5-th percentile-0.8769804351
Q10.08245226679
median0.3763386195
Q31.081352443
95-th percentile1.919558113
Maximum2.052841613
Range4.155743344
Interquartile range (IQR)0.9989001759

Descriptive statistics

Standard deviation1.005307194
Coefficient of variation (CV)2.029116999
Kurtosis1.340172436
Mean0.4954407236
Median Absolute Deviation (MAD)0.600679392
Skewness-0.7056429412
Sum8.917933024
Variance1.010642555
MonotonicityNot monotonic
2025-03-30T10:46:19.952517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.003038979 1
 
5.6%
0.1265144546 1
 
5.6%
1.896037495 1
 
5.6%
-0.2413427724 1
 
5.6%
2.052841613 1
 
5.6%
0.3143735342 1
 
5.6%
-2.102901731 1
 
5.6%
-0.2073387725 1
 
5.6%
0.07983079188 1
 
5.6%
0.4383037048 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.102901731 1
5.6%
-0.6606413829 1
5.6%
-0.2413427724 1
5.6%
-0.2073387725 1
5.6%
0.07983079188 1
5.6%
ValueCountFrequency (%)
2.052841613 1
5.6%
1.896037495 1
5.6%
1.658170207 1
5.6%
1.348386372 1
5.6%
1.107456931 1
5.6%

usind2CRSPMEG1
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3018464443
Minimum-2.424250324
Maximum2.233193847
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:20.335385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.424250324
5-th percentile-1.169949168
Q1-0.337515278
median0.1068056392
Q31.235865001
95-th percentile2.138701216
Maximum2.233193847
Range4.657444171
Interquartile range (IQR)1.573380279

Descriptive statistics

Standard deviation1.178377441
Coefficient of variation (CV)3.90389704
Kurtosis0.2811556809
Mean0.3018464443
Median Absolute Deviation (MAD)0.8412911383
Skewness-0.2871001905
Sum5.433235998
Variance1.388573392
MonotonicityNot monotonic
2025-03-30T10:46:20.760103image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0695156237 1
 
5.6%
2.122026046 1
 
5.6%
1.261463985 1
 
5.6%
1.526332728 1
 
5.6%
-2.424250324 1
 
5.6%
0.1417783707 1
 
5.6%
-0.3471972596 1
 
5.6%
0.2422469839 1
 
5.6%
1.181859338 1
 
5.6%
-0.1833343435 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.424250324 1
5.6%
-0.9486019052 1
5.6%
-0.7841636049 1
5.6%
-0.5732826226 1
5.6%
-0.3471972596 1
5.6%
ValueCountFrequency (%)
2.233193847 1
5.6%
2.122026046 1
5.6%
1.526332728 1
5.6%
1.261463985 1
5.6%
1.253866889 1
5.6%

usind2CRSPLCV1
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2715508017
Minimum-1.844576231
Maximum0.9930398829
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:46:21.144757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.844576231
5-th percentile-1.648126932
Q1-0.8641134164
median-0.2452098016
Q30.5343338383
95-th percentile0.9415672569
Maximum0.9930398829
Range2.837616114
Interquartile range (IQR)1.398447255

Descriptive statistics

Standard deviation0.8844422789
Coefficient of variation (CV)-3.257004852
Kurtosis-1.032268636
Mean-0.2715508017
Median Absolute Deviation (MAD)0.7504255459
Skewness-0.2506544525
Sum-4.887914431
Variance0.7822381447
MonotonicityNot monotonic
2025-03-30T10:46:21.563500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.5634519324 1
 
5.6%
-0.6488729994 1
 
5.6%
-0.023868404 1
 
5.6%
-1.613459408 1
 
5.6%
0.9324838523 1
 
5.6%
-0.9358602221 1
 
5.6%
-0.5526279101 1
 
5.6%
0.5750963631 1
 
5.6%
0.4469795561 1
 
5.6%
0.9930398829 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.844576231 1
5.6%
-1.613459408 1
5.6%
-1.462033517 1
5.6%
-1.079196945 1
5.6%
-0.9358602221 1
5.6%
ValueCountFrequency (%)
0.9930398829 1
5.6%
0.9324838523 1
5.6%
0.6868621273 1
5.6%
0.5750963631 1
5.6%
0.5634519324 1
5.6%

usind2CRSPLCG1
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1455664426
Minimum-2.071879524
Maximum1.885476721
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:46:22.001772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.071879524
5-th percentile-1.675845589
Q1-0.8639062903
median-0.3657892847
Q30.8370051511
95-th percentile1.669106175
Maximum1.885476721
Range3.957356246
Interquartile range (IQR)1.700911441

Descriptive statistics

Standard deviation1.171101194
Coefficient of variation (CV)-8.045131647
Kurtosis-0.9570269475
Mean-0.1455664426
Median Absolute Deviation (MAD)0.8710293637
Skewness0.2303060186
Sum-2.620195967
Variance1.371478007
MonotonicityNot monotonic
2025-03-30T10:46:22.519851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.6693825347 1
 
5.6%
-1.574297349 1
 
5.6%
-0.8640699521 1
 
5.6%
0.8625099571 1
 
5.6%
-2.071879524 1
 
5.6%
0.06014467728 1
 
5.6%
-0.6257906938 1
 
5.6%
-0.9815679946 1
 
5.6%
-0.8347751793 1
 
5.6%
-1.605957248 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.071879524 1
5.6%
-1.605957248 1
5.6%
-1.574297349 1
5.6%
-0.9815679946 1
5.6%
-0.8640699521 1
5.6%
ValueCountFrequency (%)
1.885476721 1
5.6%
1.630923138 1
5.6%
1.40892156 1
5.6%
0.9014987762 1
5.6%
0.8625099571 1
5.6%

usind2CRSPMIV1
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1651374985
Minimum-2.263728609
Maximum2.060581153
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:22.982056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.263728609
5-th percentile-1.795810642
Q1-0.6620314046
median0.4778770414
Q31.023249168
95-th percentile1.680134383
Maximum2.060581153
Range4.324309762
Interquartile range (IQR)1.685280572

Descriptive statistics

Standard deviation1.204365349
Coefficient of variation (CV)7.293106411
Kurtosis-0.6672109743
Mean0.1651374985
Median Absolute Deviation (MAD)0.8779634585
Skewness-0.4240584746
Sum2.972474973
Variance1.450495893
MonotonicityNot monotonic
2025-03-30T10:46:23.467398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.6455805425 1
 
5.6%
-0.6675150253 1
 
5.6%
-1.096637508 1
 
5.6%
1.030956649 1
 
5.6%
0.6110845634 1
 
5.6%
2.060581153 1
 
5.6%
1.176696993 1
 
5.6%
0.3446695193 1
 
5.6%
1.328504009 1
 
5.6%
-2.263728609 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.263728609 1
5.6%
-1.713236883 1
5.6%
-1.096637508 1
5.6%
-0.9225722724 1
5.6%
-0.6675150253 1
5.6%
ValueCountFrequency (%)
2.060581153 1
5.6%
1.612996717 1
5.6%
1.328504009 1
5.6%
1.176696993 1
5.6%
1.030956649 1
5.6%

usind2CRSPMIG1
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.050059122
Minimum-2.009734465
Maximum2.597517126
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:23.881019image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.009734465
5-th percentile-1.651721177
Q1-1.055607077
median0.1261081011
Q30.7649495915
95-th percentile1.244219927
Maximum2.597517126
Range4.607251591
Interquartile range (IQR)1.820556669

Descriptive statistics

Standard deviation1.162087628
Coefficient of variation (CV)-23.21430304
Kurtosis0.02751283799
Mean-0.050059122
Median Absolute Deviation (MAD)0.7369237936
Skewness0.2586998314
Sum-0.9010641961
Variance1.350447655
MonotonicityNot monotonic
2025-03-30T10:46:24.300209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.588542362 1
 
5.6%
0.6708084921 1
 
5.6%
-0.2958084331 1
 
5.6%
0.8823003795 1
 
5.6%
-0.5915472077 1
 
5.6%
-1.205667254 1
 
5.6%
0.1578176386 1
 
5.6%
-1.294267322 1
 
5.6%
0.3191667765 1
 
5.6%
2.597517126 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.009734465 1
5.6%
-1.588542362 1
5.6%
-1.294267322 1
5.6%
-1.205667254 1
5.6%
-1.13466533 1
5.6%
ValueCountFrequency (%)
2.597517126 1
5.6%
1.005402775 1
5.6%
0.8823003795 1
5.6%
0.8426577103 1
5.6%
0.7961336649 1
5.6%

usind2CRSPSCV1
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002108733221
Minimum-1.987975667
Maximum1.625875306
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:24.746042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.987975667
5-th percentile-1.000037463
Q1-0.6792779291
median-0.005719162941
Q30.3677692561
95-th percentile1.546391827
Maximum1.625875306
Range3.613850972
Interquartile range (IQR)1.047047185

Descriptive statistics

Standard deviation0.921519651
Coefficient of variation (CV)-437.0015334
Kurtosis0.2152660271
Mean-0.002108733221
Median Absolute Deviation (MAD)0.6671249181
Skewness0.06493562091
Sum-0.03795719798
Variance0.8491984673
MonotonicityNot monotonic
2025-03-30T10:46:25.250575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.7369923307 1
 
5.6%
0.3929334609 1
 
5.6%
1.532365331 1
 
5.6%
0.1098159288 1
 
5.6%
-0.7803593809 1
 
5.6%
-0.6857117772 1
 
5.6%
1.625875306 1
 
5.6%
-0.659976385 1
 
5.6%
-0.3566497272 1
 
5.6%
-0.8256954269 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.987975667 1
5.6%
-0.8256954269 1
5.6%
-0.7803593809 1
5.6%
-0.7369923307 1
5.6%
-0.6857117772 1
5.6%
ValueCountFrequency (%)
1.625875306 1
5.6%
1.532365331 1
5.6%
1.303336866 1
5.6%
0.7551611351 1
5.6%
0.3929334609 1
5.6%

usind2CRSPSCG1
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06283090459
Minimum-2.210740166
Maximum2.657003821
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)72.2%
Memory size288.0 B
2025-03-30T10:46:25.722263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.210740166
5-th percentile-1.389545222
Q1-0.9696585106
median-0.329315728
Q30.1798417944
95-th percentile2.179851558
Maximum2.657003821
Range4.867743987
Interquartile range (IQR)1.149500305

Descriptive statistics

Standard deviation1.329175604
Coefficient of variation (CV)-21.1548061
Kurtosis-0.1109246692
Mean-0.06283090459
Median Absolute Deviation (MAD)0.6374198243
Skewness0.7849663453
Sum-1.130956283
Variance1.766707785
MonotonicityNot monotonic
2025-03-30T10:46:26.226476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.158214347 1
 
5.6%
-0.9608896356 1
 
5.6%
-0.7768421479 1
 
5.6%
-0.1236873134 1
 
5.6%
-0.972581469 1
 
5.6%
2.000192184 1
 
5.6%
-0.3107268499 1
 
5.6%
-0.02268887479 1
 
5.6%
-0.4014255476 1
 
5.6%
-1.244628467 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.210740166 1
5.6%
-1.244628467 1
5.6%
-1.158214347 1
5.6%
-1.127804871 1
5.6%
-0.972581469 1
5.6%
ValueCountFrequency (%)
2.657003821 1
5.6%
2.095648217 1
5.6%
2.000192184 1
5.6%
1.6320425 1
5.6%
0.2473520175 1
5.6%

usind2CRSPMEVT
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3135359093
Minimum-0.9219926385
Maximum1.695479629
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:26.650540image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9219926385
5-th percentile-0.7697288631
Q1-0.233711425
median0.3458998892
Q30.798069031
95-th percentile1.478595451
Maximum1.695479629
Range2.617472268
Interquartile range (IQR)1.031780456

Descriptive statistics

Standard deviation0.7462418025
Coefficient of variation (CV)2.380084004
Kurtosis-0.8017010971
Mean0.3135359093
Median Absolute Deviation (MAD)0.5251873435
Skewness0.142420093
Sum5.643646367
Variance0.5568768277
MonotonicityNot monotonic
2025-03-30T10:46:27.103976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.4577637854 1
 
5.6%
0.5163463797 1
 
5.6%
1.695479629 1
 
5.6%
0.8401669851 1
 
5.6%
0.1754533986 1
 
5.6%
0.8311024411 1
 
5.6%
-0.007528374972 1
 
5.6%
-0.06802281179 1
 
5.6%
0.6041409271 1
 
5.6%
0.6989688004 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.9219926385 1
5.6%
-0.7428587851 1
5.6%
-0.4577637854 1
5.6%
-0.3804924356 1
5.6%
-0.2415459993 1
5.6%
ValueCountFrequency (%)
1.695479629 1
5.6%
1.440321773 1
5.6%
1.184911287 1
5.6%
0.8401669851 1
5.6%
0.8311024411 1
5.6%

usind2CRSPMEGT
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.186487786
Minimum-1.057322603
Maximum1.980103054
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:27.520338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.057322603
5-th percentile-0.9349231479
Q1-0.4968292553
median0.1111183726
Q30.7437072509
95-th percentile1.30239252
Maximum1.980103054
Range3.037425657
Interquartile range (IQR)1.240536506

Descriptive statistics

Standard deviation0.8405576747
Coefficient of variation (CV)4.507306846
Kurtosis-0.5458305619
Mean0.186487786
Median Absolute Deviation (MAD)0.6639387469
Skewness0.3362736012
Sum3.356780149
Variance0.7065372044
MonotonicityNot monotonic
2025-03-30T10:46:27.983913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.182796543 1
 
5.6%
0.7643960133 1
 
5.6%
-0.6737618656 1
 
5.6%
0.7941836577 1
 
5.6%
-0.5634814806 1
 
5.6%
-0.224381013 1
 
5.6%
-1.057322603 1
 
5.6%
-0.1340595538 1
 
5.6%
0.6816409636 1
 
5.6%
0.3174291971 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.057322603 1
5.6%
-0.9133232441 1
5.6%
-0.7551485377 1
5.6%
-0.6737618656 1
5.6%
-0.5634814806 1
5.6%
ValueCountFrequency (%)
1.980103054 1
5.6%
1.182796543 1
5.6%
1.175023582 1
5.6%
0.7941836577 1
5.6%
0.7643960133 1
5.6%

usind2CRSPLCVT
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1002447323
Minimum-2.075834397
Maximum1.472644072
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:28.425536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.075834397
5-th percentile-1.56204293
Q1-0.6121504853
median-0.1038243018
Q30.6611275359
95-th percentile0.9889674553
Maximum1.472644072
Range3.548478469
Interquartile range (IQR)1.273278021

Descriptive statistics

Standard deviation0.9230299276
Coefficient of variation (CV)-9.207764904
Kurtosis-0.2138849097
Mean-0.1002447323
Median Absolute Deviation (MAD)0.5938036874
Skewness-0.4098723182
Sum-1.804405181
Variance0.8519842472
MonotonicityNot monotonic
2025-03-30T10:46:28.907596image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.6386476392 1
 
5.6%
0.7461736381 1
 
5.6%
-0.3288413084 1
 
5.6%
-0.3539784933 1
 
5.6%
0.7097734264 1
 
5.6%
0.8078709145 1
 
5.6%
0.1211927048 1
 
5.6%
1.472644072 1
 
5.6%
0.4353148096 1
 
5.6%
-2.075834397 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.075834397 1
5.6%
-1.471373848 1
5.6%
-1.192412753 1
5.6%
-0.6724175107 1
5.6%
-0.6386476392 1
5.6%
ValueCountFrequency (%)
1.472644072 1
5.6%
0.9036127583 1
5.6%
0.8078709145 1
5.6%
0.7461736381 1
5.6%
0.7097734264 1
5.6%

usind2CRSPLCGT
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1214821593
Minimum-1.704052917
Maximum1.635015121
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:46:29.361379image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.704052917
5-th percentile-1.517114848
Q1-0.7195459736
median-0.2789621624
Q30.525502995
95-th percentile1.303145485
Maximum1.635015121
Range3.339068038
Interquartile range (IQR)1.245048969

Descriptive statistics

Standard deviation0.9348372752
Coefficient of variation (CV)-7.695263904
Kurtosis-0.6494985853
Mean-0.1214821593
Median Absolute Deviation (MAD)0.6363296596
Skewness0.1743120475
Sum-2.186678867
Variance0.8739207312
MonotonicityNot monotonic
2025-03-30T10:46:29.767685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.3624114629 1
 
5.6%
0.3207598581 1
 
5.6%
-1.12150956 1
 
5.6%
-0.7001901831 1
 
5.6%
0.04055843487 1
 
5.6%
-0.2984738082 1
 
5.6%
-0.9102478563 1
 
5.6%
-0.2594505166 1
 
5.6%
-0.7259979037 1
 
5.6%
0.6799384635 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.704052917 1
5.6%
-1.484125777 1
5.6%
-1.12150956 1
5.6%
-0.9102478563 1
5.6%
-0.7259979037 1
5.6%
ValueCountFrequency (%)
1.635015121 1
5.6%
1.244580255 1
5.6%
1.047684061 1
5.6%
0.6799384635 1
5.6%
0.579866839 1
5.6%

usind2CRSPMIVT
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1950360421
Minimum-1.744947687
Maximum1.640147226
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:30.201021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.744947687
5-th percentile-0.8833035121
Q1-0.5697435512
median0.5161669444
Q30.8425288044
95-th percentile1.302038762
Maximum1.640147226
Range3.385094913
Interquartile range (IQR)1.412272356

Descriptive statistics

Standard deviation0.886903324
Coefficient of variation (CV)4.547381675
Kurtosis-0.4639849553
Mean0.1950360421
Median Absolute Deviation (MAD)0.7444171774
Skewness-0.419383783
Sum3.510648758
Variance0.7865975061
MonotonicityNot monotonic
2025-03-30T10:46:30.774194image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.4979328875 1
 
5.6%
-0.3301149233 1
 
5.6%
0.9182492537 1
 
5.6%
0.7666066946 1
 
5.6%
0.5344010013 1
 
5.6%
-0.4132066708 1
 
5.6%
-0.6219941412 1
 
5.6%
0.9377653544 1
 
5.6%
-0.6599835457 1
 
5.6%
-1.744947687 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.744947687 1
5.6%
-0.7312486577 1
5.6%
-0.6599835457 1
5.6%
-0.6219941412 1
5.6%
-0.6219225113 1
5.6%
ValueCountFrequency (%)
1.640147226 1
5.6%
1.242372563 1
5.6%
0.9377653544 1
5.6%
0.9182492537 1
5.6%
0.8460756747 1
5.6%

usind2CRSPMIGT
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29020368
Minimum-2.067314887
Maximum2.639308869
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:31.311439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.067314887
5-th percentile-0.8740974536
Q1-0.4263132722
median0.2016356632
Q30.8495218932
95-th percentile1.92596429
Maximum2.639308869
Range4.706623756
Interquartile range (IQR)1.275835165

Descriptive statistics

Standard deviation1.093267562
Coefficient of variation (CV)3.76724224
Kurtosis0.6821685652
Mean0.29020368
Median Absolute Deviation (MAD)0.6728777252
Skewness0.2027901965
Sum5.22366624
Variance1.195233961
MonotonicityNot monotonic
2025-03-30T10:46:31.890661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.8922870097 1
 
5.6%
-0.4898452855 1
 
5.6%
-0.5927535287 1
 
5.6%
0.3753473635 1
 
5.6%
-2.067314887 1
 
5.6%
2.639308869 1
 
5.6%
1.648164825 1
 
5.6%
-0.2248286633 1
 
5.6%
-0.4534684406 1
 
5.6%
0.4375122423 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.067314887 1
5.6%
-0.6635296713 1
5.6%
-0.5927535287 1
5.6%
-0.4898452855 1
5.6%
-0.4534684406 1
5.6%
ValueCountFrequency (%)
2.639308869 1
5.6%
1.800079952 1
5.6%
1.648164825 1
5.6%
1.212737514 1
5.6%
0.8922870097 1
5.6%

usind2CRSPSCVT
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03517092708
Minimum-2.307531518
Maximum1.39655449
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:46:32.320172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.307531518
5-th percentile-1.813110454
Q1-0.4532587774
median-0.01661556787
Q30.6855219596
95-th percentile1.26949562
Maximum1.39655449
Range3.704086008
Interquartile range (IQR)1.138780737

Descriptive statistics

Standard deviation1.04308763
Coefficient of variation (CV)-29.65766661
Kurtosis-0.004242251674
Mean-0.03517092708
Median Absolute Deviation (MAD)0.6421643526
Skewness-0.7407218592
Sum-0.6330766875
Variance1.088031803
MonotonicityNot monotonic
2025-03-30T10:46:32.901955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.4775153422 1
 
5.6%
1.247073466 1
 
5.6%
1.39655449 1
 
5.6%
0.658192174 1
 
5.6%
-0.3804890828 1
 
5.6%
-0.01597944288 1
 
5.6%
-0.6261365312 1
 
5.6%
0.5390530504 1
 
5.6%
0.6946318881 1
 
5.6%
-1.725859678 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.307531518 1
5.6%
-1.725859678 1
5.6%
-1.614599408 1
5.6%
-0.6261365312 1
5.6%
-0.4775153422 1
5.6%
ValueCountFrequency (%)
1.39655449 1
5.6%
1.247073466 1
5.6%
1.02104874 1
5.6%
0.9460377467 1
5.6%
0.6946318881 1
5.6%

usind2CRSPSCGT
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.21680714
Minimum-2.704789798
Maximum1.600123686
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:33.523191image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.704789798
5-th percentile-2.362397581
Q1-1.201148801
median0.09272511848
Q30.7376670369
95-th percentile1.428754055
Maximum1.600123686
Range4.304913484
Interquartile range (IQR)1.938815838

Descriptive statistics

Standard deviation1.336996916
Coefficient of variation (CV)-6.166756853
Kurtosis-0.9782665322
Mean-0.21680714
Median Absolute Deviation (MAD)0.9719631651
Skewness-0.4792091585
Sum-3.90252852
Variance1.787560755
MonotonicityNot monotonic
2025-03-30T10:46:33.991758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0800289576 1
 
5.6%
-1.244889719 1
 
5.6%
-0.6885500476 1
 
5.6%
-1.841181778 1
 
5.6%
-1.863314398 1
 
5.6%
0.3174529469 1
 
5.6%
-2.301975426 1
 
5.6%
0.7499914983 1
 
5.6%
1.398512355 1
 
5.6%
-1.069926046 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.704789798 1
5.6%
-2.301975426 1
5.6%
-1.863314398 1
5.6%
-1.841181778 1
5.6%
-1.244889719 1
5.6%
ValueCountFrequency (%)
1.600123686 1
5.6%
1.398512355 1
5.6%
1.360390395 1
5.6%
0.8033097564 1
5.6%
0.7499914983 1
5.6%

stockvwretd
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01575984614
Minimum-1.27769102
Maximum1.893475058
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:46:34.399775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.27769102
5-th percentile-1.050493698
Q1-0.8602492017
median-0.2716725835
Q30.9352023752
95-th percentile1.629129794
Maximum1.893475058
Range3.171166078
Interquartile range (IQR)1.795451577

Descriptive statistics

Standard deviation1.010506835
Coefficient of variation (CV)64.11907994
Kurtosis-1.058635429
Mean0.01575984614
Median Absolute Deviation (MAD)0.6109756361
Skewness0.5977079442
Sum0.2836772305
Variance1.021124063
MonotonicityNot monotonic
2025-03-30T10:46:35.344390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.070848748 1
 
5.6%
-0.500278891 1
 
5.6%
-0.04039615127 1
 
5.6%
1.893475058 1
 
5.6%
1.582480629 1
 
5.6%
0.528263258 1
 
5.6%
-0.8706290311 1
 
5.6%
-0.8841412944 1
 
5.6%
-0.6687040648 1
 
5.6%
-0.8291097134 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.27769102 1
5.6%
-1.010400053 1
5.6%
-0.8841412944 1
5.6%
-0.8811551449 1
5.6%
-0.8706290311 1
5.6%
ValueCountFrequency (%)
1.893475058 1
5.6%
1.582480629 1
5.6%
1.418208489 1
5.6%
1.115511691 1
5.6%
1.070848748 1
5.6%

stockvwretx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3991439059
Minimum-2.086751789
Maximum0.9563349315
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)66.7%
Memory size288.0 B
2025-03-30T10:46:35.759987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.086751789
5-th percentile-1.7448051
Q1-1.081185595
median-0.3450450524
Q30.4266528653
95-th percentile0.949646918
Maximum0.9563349315
Range3.04308672
Interquartile range (IQR)1.50783846

Descriptive statistics

Standard deviation0.974064634
Coefficient of variation (CV)-2.440384582
Kurtosis-1.112642248
Mean-0.3991439059
Median Absolute Deviation (MAD)0.809493997
Skewness-0.007357472113
Sum-7.184590305
Variance0.9488019111
MonotonicityNot monotonic
2025-03-30T10:46:36.179974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.2010681464 1
 
5.6%
-0.2007406557 1
 
5.6%
-1.684461567 1
 
5.6%
-0.9732609105 1
 
5.6%
0.9563349315 1
 
5.6%
-1.074197058 1
 
5.6%
-1.591007483 1
 
5.6%
-0.4419557016 1
 
5.6%
-0.5974910157 1
 
5.6%
0.80693355 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.086751789 1
5.6%
-1.684461567 1
5.6%
-1.591007483 1
5.6%
-1.288524136 1
5.6%
-1.083515107 1
5.6%
ValueCountFrequency (%)
0.9563349315 1
5.6%
0.9484666803 1
5.6%
0.9391168196 1
5.6%
0.80693355 1
5.6%
0.535472887 1
5.6%

stockvwTotVal
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04788153559
Minimum-1.81663557
Maximum1.218662659
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:36.566958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.81663557
5-th percentile-1.535834807
Q1-0.6424599726
median0.004987374665
Q30.632395251
95-th percentile1.115231122
Maximum1.218662659
Range3.03529823
Interquartile range (IQR)1.274855224

Descriptive statistics

Standard deviation0.8862124328
Coefficient of variation (CV)-18.508438
Kurtosis-0.6216240209
Mean-0.04788153559
Median Absolute Deviation (MAD)0.6788916317
Skewness-0.3790913201
Sum-0.8618676406
Variance0.785372476
MonotonicityNot monotonic
2025-03-30T10:46:36.967069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.327654792 1
 
5.6%
-0.7670860873 1
 
5.6%
1.096978498 1
 
5.6%
-0.06729787834 1
 
5.6%
0.2564617845 1
 
5.6%
-0.4177278059 1
 
5.6%
0.07727262767 1
 
5.6%
1.031159985 1
 
5.6%
-1.486281731 1
 
5.6%
-0.2619303648 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.81663557 1
5.6%
-1.486281731 1
5.6%
-0.9873106755 1
5.6%
-0.7670860873 1
5.6%
-0.7173706949 1
5.6%
ValueCountFrequency (%)
1.218662659 1
5.6%
1.096978498 1
5.6%
1.031159985 1
5.6%
0.820164994 1
5.6%
0.6404125685 1
5.6%

stockvwUsdVal
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1472296722
Minimum-1.534630751
Maximum1.559048579
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:37.350989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.534630751
5-th percentile-0.9099811027
Q1-0.5925315302
median0.2415382404
Q30.6690875436
95-th percentile1.453918826
Maximum1.559048579
Range3.093679329
Interquartile range (IQR)1.261619074

Descriptive statistics

Standard deviation0.8755159289
Coefficient of variation (CV)5.946599731
Kurtosis-0.7637884613
Mean0.1472296722
Median Absolute Deviation (MAD)0.7554067214
Skewness-0.02025006953
Sum2.650134099
Variance0.7665281417
MonotonicityNot monotonic
2025-03-30T10:46:37.778897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.6721739589 1
 
5.6%
0.04272813051 1
 
5.6%
0.5073496609 1
 
5.6%
0.6598282977 1
 
5.6%
0.446972273 1
 
5.6%
1.435366516 1
 
5.6%
-0.5018547041 1
 
5.6%
0.03231303798 1
 
5.6%
-0.7040806925 1
 
5.6%
-0.648734164 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.534630751 1
5.6%
-0.7997488119 1
5.6%
-0.7040806925 1
5.6%
-0.648734164 1
5.6%
-0.6147479544 1
5.6%
ValueCountFrequency (%)
1.559048579 1
5.6%
1.435366516 1
5.6%
1.397825742 1
5.6%
0.7858588877 1
5.6%
0.6721739589 1
5.6%

stockvwTotCnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4980271232
Minimum-1.515404635
Maximum3.09482912
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:46:38.190949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.515404635
5-th percentile-1.110374455
Q1-0.3041141842
median0.5394621155
Q31.335841444
95-th percentile1.872761077
Maximum3.09482912
Range4.610233755
Interquartile range (IQR)1.639955628

Descriptive statistics

Standard deviation1.173290808
Coefficient of variation (CV)2.355877328
Kurtosis-0.005368153708
Mean0.4980271232
Median Absolute Deviation (MAD)0.8071524002
Skewness0.1443882151
Sum8.964488217
Variance1.376611321
MonotonicityNot monotonic
2025-03-30T10:46:38.588954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.335286331 1
 
5.6%
0.3683854913 1
 
5.6%
1.336026481 1
 
5.6%
-0.9043720486 1
 
5.6%
3.09482912 1
 
5.6%
0.7689414501 1
 
5.6%
0.6117195737 1
 
5.6%
-0.4337952997 1
 
5.6%
-0.9787692291 1
 
5.6%
0.4672046572 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.515404635 1
5.6%
-1.038898541 1
5.6%
-0.9787692291 1
5.6%
-0.9043720486 1
5.6%
-0.4337952997 1
5.6%
ValueCountFrequency (%)
3.09482912 1
5.6%
1.657102011 1
5.6%
1.552668444 1
5.6%
1.35720255 1
5.6%
1.336026481 1
5.6%

stockvwUsdCnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05936948777
Minimum-1.451640844
Maximum2.202170467
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:38.963781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.451640844
5-th percentile-1.245060856
Q1-0.5334480827
median0.06416571877
Q30.5288139557
95-th percentile1.336940664
Maximum2.202170467
Range3.65381131
Interquartile range (IQR)1.062262038

Descriptive statistics

Standard deviation0.9483463368
Coefficient of variation (CV)15.97363178
Kurtosis0.05934088034
Mean0.05936948777
Median Absolute Deviation (MAD)0.5573576142
Skewness0.4034480332
Sum1.06865078
Variance0.8993607745
MonotonicityNot monotonic
2025-03-30T10:46:39.394763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.184253052 1
 
5.6%
1.120262921 1
 
5.6%
-1.139149732 1
 
5.6%
0.5089094376 1
 
5.6%
-0.01863483867 1
 
5.6%
-0.4126795209 1
 
5.6%
0.1895478561 1
 
5.6%
-1.451640844 1
 
5.6%
0.1469662762 1
 
5.6%
-1.208605564 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.451640844 1
5.6%
-1.208605564 1
5.6%
-1.139149732 1
5.6%
-0.7966208798 1
5.6%
-0.5737042699 1
5.6%
ValueCountFrequency (%)
2.202170467 1
5.6%
1.184253052 1
5.6%
1.120262921 1
5.6%
0.9879099977 1
5.6%
0.5354487951 1
5.6%

stockewretd
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06501956979
Minimum-2.053384384
Maximum2.469407414
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:39.843202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.053384384
5-th percentile-1.497136483
Q1-0.6385333339
median-0.02032204444
Q30.8214741048
95-th percentile1.641266861
Maximum2.469407414
Range4.522791798
Interquartile range (IQR)1.460007439

Descriptive statistics

Standard deviation1.080643136
Coefficient of variation (CV)16.62027509
Kurtosis0.4317896726
Mean0.06501956979
Median Absolute Deviation (MAD)0.7393390789
Skewness0.2480128261
Sum1.170352256
Variance1.167789587
MonotonicityNot monotonic
2025-03-30T10:46:40.261221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.7462730216 1
 
5.6%
-0.773049225 1
 
5.6%
0.03328582786 1
 
5.6%
-0.5790136948 1
 
5.6%
2.469407414 1
 
5.6%
0.9410209154 1
 
5.6%
0.8266474465 1
 
5.6%
1.49512441 1
 
5.6%
-0.1520632817 1
 
5.6%
-1.398975089 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.053384384 1
5.6%
-1.398975089 1
5.6%
-0.773049225 1
5.6%
-0.7462730216 1
5.6%
-0.6583732136 1
5.6%
ValueCountFrequency (%)
2.469407414 1
5.6%
1.49512441 1
5.6%
1.01869085 1
5.6%
0.9410209154 1
5.6%
0.8266474465 1
5.6%

stockewretx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0528600274
Minimum-1.982116749
Maximum1.652615061
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:40.657340image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.982116749
5-th percentile-1.755152634
Q1-0.531864593
median0.1892477167
Q30.6523370661
95-th percentile1.318536317
Maximum1.652615061
Range3.63473181
Interquartile range (IQR)1.184201659

Descriptive statistics

Standard deviation1.09999682
Coefficient of variation (CV)-20.80961502
Kurtosis-0.7114553636
Mean-0.0528600274
Median Absolute Deviation (MAD)0.5817461161
Skewness-0.4726445853
Sum-0.9514804932
Variance1.209993004
MonotonicityNot monotonic
2025-03-30T10:46:41.088277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.2023904573 1
 
5.6%
0.07758372113 1
 
5.6%
-0.2849047666 1
 
5.6%
-0.3100987934 1
 
5.6%
1.246206672 1
 
5.6%
0.6715575575 1
 
5.6%
0.176104976 1
 
5.6%
1.259581244 1
 
5.6%
0.2722670988 1
 
5.6%
-1.715100143 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.982116749 1
5.6%
-1.715100143 1
5.6%
-1.67457632 1
5.6%
-1.663736467 1
5.6%
-0.6057865262 1
5.6%
ValueCountFrequency (%)
1.652615061 1
5.6%
1.259581244 1
5.6%
1.246206672 1
5.6%
0.8533934389 1
5.6%
0.6715575575 1
5.6%

stockewTotVal
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03405527655
Minimum-2.238288341
Maximum1.634666553
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:46:41.517524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.238288341
5-th percentile-1.413457332
Q1-0.6663339131
median-0.2789968022
Q30.8928789106
95-th percentile1.394262483
Maximum1.634666553
Range3.872954894
Interquartile range (IQR)1.559212824

Descriptive statistics

Standard deviation1.031952616
Coefficient of variation (CV)-30.30228267
Kurtosis-0.3982616622
Mean-0.03405527655
Median Absolute Deviation (MAD)0.6665330863
Skewness-0.1212704712
Sum-0.612994978
Variance1.064926203
MonotonicityNot monotonic
2025-03-30T10:46:41.978158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.7103980237 1
 
5.6%
1.634666553 1
 
5.6%
0.9442086466 1
 
5.6%
-0.5742373753 1
 
5.6%
-1.267898918 1
 
5.6%
1.225249005 1
 
5.6%
1.351838236 1
 
5.6%
-0.7878237477 1
 
5.6%
-0.6614276383 1
 
5.6%
0.5452424248 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.238288341 1
5.6%
-1.267898918 1
5.6%
-0.7878237477 1
5.6%
-0.7103980237 1
5.6%
-0.6679693381 1
5.6%
ValueCountFrequency (%)
1.634666553 1
5.6%
1.351838236 1
5.6%
1.225249005 1
5.6%
1.022435932 1
5.6%
0.9442086466 1
5.6%

stockewUsdVal
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09003237762
Minimum-1.706669577
Maximum1.617126841
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:46:42.391021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.706669577
5-th percentile-1.231898547
Q1-0.4526301207
median0.002281479975
Q30.8116344306
95-th percentile1.53540648
Maximum1.617126841
Range3.323796419
Interquartile range (IQR)1.264264551

Descriptive statistics

Standard deviation0.9343102759
Coefficient of variation (CV)10.37749197
Kurtosis-0.6208737123
Mean0.09003237762
Median Absolute Deviation (MAD)0.6477395015
Skewness-0.0240635834
Sum1.620582797
Variance0.8729356917
MonotonicityNot monotonic
2025-03-30T10:46:42.836277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.6141921562 1
 
5.6%
-0.1231098635 1
 
5.6%
0.5171905304 1
 
5.6%
-1.148115423 1
 
5.6%
-0.6812868468 1
 
5.6%
0.9384770551 1
 
5.6%
0.07650527184 1
 
5.6%
0.004632814704 1
 
5.6%
-6.985475413 × 10-51
 
5.6%
-0.4736397504 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.706669577 1
5.6%
-1.148115423 1
5.6%
-0.980273496 1
5.6%
-0.6812868468 1
5.6%
-0.4736397504 1
5.6%
ValueCountFrequency (%)
1.617126841 1
5.6%
1.52098524 1
5.6%
1.269308288 1
5.6%
0.9384770551 1
5.6%
0.8774485221 1
5.6%

stockewTotCnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4428470852
Minimum-1.661602335
Maximum1.92337188
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:46:43.266149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.661602335
5-th percentile-0.8784353293
Q1-0.2929101533
median0.5548051523
Q31.106268272
95-th percentile1.745342712
Maximum1.92337188
Range3.584974215
Interquartile range (IQR)1.399178426

Descriptive statistics

Standard deviation0.9419730161
Coefficient of variation (CV)2.127084151
Kurtosis-0.1400267579
Mean0.4428470852
Median Absolute Deviation (MAD)0.6378054682
Skewness-0.4050266487
Sum7.971247533
Variance0.887313163
MonotonicityNot monotonic
2025-03-30T10:46:43.740474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.8977869117 1
 
5.6%
-0.08078194173 1
 
5.6%
0.08813527115 1
 
5.6%
-0.3977618913 1
 
5.6%
0.7534699618 1
 
5.6%
-0.3709235111 1
 
5.6%
1.125770616 1
 
5.6%
0.1922226805 1
 
5.6%
-1.661602335 1
 
5.6%
1.539282494 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.661602335 1
5.6%
-0.7402293872 1
5.6%
-0.3977618913 1
5.6%
-0.3709235111 1
5.6%
-0.3636195571 1
5.6%
ValueCountFrequency (%)
1.92337188 1
5.6%
1.7139258 1
5.6%
1.539282494 1
5.6%
1.194828995 1
5.6%
1.125770616 1
5.6%

stockewUsdCnt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07218455816
Minimum-2.345502524
Maximum1.575974526
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:44.207070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.345502524
5-th percentile-1.639688696
Q1-0.69382261
median0.3247570837
Q30.7000162253
95-th percentile1.512659122
Maximum1.575974526
Range3.921477049
Interquartile range (IQR)1.393838835

Descriptive statistics

Standard deviation1.049445281
Coefficient of variation (CV)14.53836261
Kurtosis0.1296187895
Mean0.07218455816
Median Absolute Deviation (MAD)0.645447451
Skewness-0.6688099476
Sum1.299322047
Variance1.101335398
MonotonicityNot monotonic
2025-03-30T10:46:44.740486image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.7413033689 1
 
5.6%
0.745372292 1
 
5.6%
0.01840462342 1
 
5.6%
0.7124770346 1
 
5.6%
0.6464514496 1
 
5.6%
0.1203305877 1
 
5.6%
-0.9380229069 1
 
5.6%
0.582174239 1
 
5.6%
0.5291835796 1
 
5.6%
1.501485816 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.345502524 1
5.6%
-1.515133314 1
5.6%
-0.9380229069 1
5.6%
-0.7697892002 1
5.6%
-0.7413033689 1
5.6%
ValueCountFrequency (%)
1.575974526 1
5.6%
1.501485816 1
5.6%
1.178430326 1
5.6%
0.745372292 1
5.6%
0.7124770346 1
5.6%

stocksprtrn
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3521217931
Minimum-2.577345023
Maximum1.73611595
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:46:45.218087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.577345023
5-th percentile-2.231937248
Q1-1.343841599
median-0.1937994063
Q30.3836262828
95-th percentile1.496122704
Maximum1.73611595
Range4.313460973
Interquartile range (IQR)1.727467882

Descriptive statistics

Standard deviation1.196397552
Coefficient of variation (CV)-3.397681074
Kurtosis-0.5867874133
Mean-0.3521217931
Median Absolute Deviation (MAD)0.9446117541
Skewness-0.1255026609
Sum-6.338192276
Variance1.431367103
MonotonicityNot monotonic
2025-03-30T10:46:45.676501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.3584973808 1
 
5.6%
-0.566563017 1
 
5.6%
0.05442727521 1
 
5.6%
-0.5410247714 1
 
5.6%
1.73611595 1
 
5.6%
0.3920025834 1
 
5.6%
1.453770955 1
 
5.6%
0.03491246883 1
 
5.6%
-1.33605803 1
 
5.6%
-2.170982935 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.577345023 1
5.6%
-2.170982935 1
5.6%
-1.572637515 1
5.6%
-1.370897359 1
5.6%
-1.346436122 1
5.6%
ValueCountFrequency (%)
1.73611595 1
5.6%
1.453770955 1
5.6%
0.8089526614 1
5.6%
0.6926720343 1
5.6%
0.3920025834 1
5.6%

ustreb30ret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5723197357
Minimum-0.650826025
Maximum2.02871353
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:46:46.189792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.650826025
5-th percentile-0.4317613156
Q1-0.1162671833
median0.4090670289
Q31.121657723
95-th percentile1.930480328
Maximum2.02871353
Range2.679539555
Interquartile range (IQR)1.237924906

Descriptive statistics

Standard deviation0.8644784261
Coefficient of variation (CV)1.510481593
Kurtosis-0.9848028139
Mean0.5723197357
Median Absolute Deviation (MAD)0.575432654
Skewness0.5247747138
Sum10.30175524
Variance0.7473229492
MonotonicityNot monotonic
2025-03-30T10:46:46.674601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.1943486715 1
 
5.6%
-0.1383825786 1
 
5.6%
1.898340376 1
 
5.6%
0.2525674904 1
 
5.6%
-0.3160853416 1
 
5.6%
-0.3931028374 1
 
5.6%
1.75730964 1
 
5.6%
1.188347268 1
 
5.6%
0.6707432751 1
 
5.6%
1.913145056 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.650826025 1
5.6%
-0.3931028374 1
5.6%
-0.3160853416 1
5.6%
-0.1943486715 1
5.6%
-0.1383825786 1
5.6%
ValueCountFrequency (%)
2.02871353 1
5.6%
1.913145056 1
5.6%
1.898340376 1
5.6%
1.75730964 1
5.6%
1.188347268 1
5.6%

ustreb30ind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1059219829
Minimum-2.009755361
Maximum1.509770645
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:47.087814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.009755361
5-th percentile-1.974493343
Q1-0.6487366887
median0.1288039597
Q30.3958197034
95-th percentile1.50482865
Maximum1.509770645
Range3.519526006
Interquartile range (IQR)1.044556392

Descriptive statistics

Standard deviation1.117602567
Coefficient of variation (CV)-10.55118623
Kurtosis-0.6310737357
Mean-0.1059219829
Median Absolute Deviation (MAD)0.7478681389
Skewness-0.3971402716
Sum-1.906595693
Variance1.249035498
MonotonicityNot monotonic
2025-03-30T10:46:47.544272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1070313988 1
 
5.6%
0.1957360478 1
 
5.6%
0.2310059317 1
 
5.6%
-1.399460597 1
 
5.6%
0.2115561023 1
 
5.6%
-1.826761994 1
 
5.6%
0.9420759411 1
 
5.6%
1.503956534 1
 
5.6%
-0.04656310131 1
 
5.6%
0.4507576273 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.009755361 1
5.6%
-1.968270634 1
5.6%
-1.826761994 1
5.6%
-1.399460597 1
5.6%
-0.6784091983 1
5.6%
ValueCountFrequency (%)
1.509770645 1
5.6%
1.503956534 1
5.6%
1.283957077 1
5.6%
0.9420759411 1
5.6%
0.4507576273 1
5.6%

ustreb20ret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02494828983
Minimum-2.365122453
Maximum1.249348708
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:46:48.150810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.365122453
5-th percentile-0.9862396008
Q1-0.6123167696
median-0.09548743532
Q30.646822064
95-th percentile1.197939407
Maximum1.249348708
Range3.614471161
Interquartile range (IQR)1.259138834

Descriptive statistics

Standard deviation0.8964606409
Coefficient of variation (CV)-35.93274919
Kurtosis1.257690959
Mean-0.02494828983
Median Absolute Deviation (MAD)0.5482157144
Skewness-0.7394736541
Sum-0.4490692169
Variance0.8036416807
MonotonicityNot monotonic
2025-03-30T10:46:48.722335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.613602764 1
 
5.6%
1.249348708 1
 
5.6%
0.6374816048 1
 
5.6%
1.188867178 1
 
5.6%
-0.4748858759 1
 
5.6%
-2.365122453 1
 
5.6%
0.8946086989 1
 
5.6%
-0.1893462582 1
 
5.6%
-0.2644811342 1
 
5.6%
-0.001628612458 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.365122453 1
5.6%
-0.7429073328 1
5.6%
-0.6485724297 1
5.6%
-0.6388338698 1
5.6%
-0.613602764 1
5.6%
ValueCountFrequency (%)
1.249348708 1
5.6%
1.188867178 1
5.6%
0.8972879432 1
5.6%
0.8946086989 1
5.6%
0.6499355504 1
5.6%

ustreb20ind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.107526447
Minimum-1.321462473
Maximum2.008733423
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)66.7%
Memory size288.0 B
2025-03-30T10:46:49.252486image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.321462473
5-th percentile-1.044035934
Q1-0.7327026077
median-0.3848955664
Q30.3316802351
95-th percentile1.774981126
Maximum2.008733423
Range3.330195896
Interquartile range (IQR)1.064382843

Descriptive statistics

Standard deviation0.890856747
Coefficient of variation (CV)-8.285001242
Kurtosis1.134124329
Mean-0.107526447
Median Absolute Deviation (MAD)0.4185849215
Skewness1.168138035
Sum-1.935476046
Variance0.7936257437
MonotonicityNot monotonic
2025-03-30T10:46:49.805964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.4254826831 1
 
5.6%
-0.5972386561 1
 
5.6%
0.05027289132 1
 
5.6%
-0.900134763 1
 
5.6%
-0.7778572582 1
 
5.6%
2.008733423 1
 
5.6%
-0.7868969517 1
 
5.6%
1.73373072 1
 
5.6%
-0.3813453031 1
 
5.6%
-0.5384415296 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.321462473 1
5.6%
-0.9950783093 1
5.6%
-0.900134763 1
5.6%
-0.7868969517 1
5.6%
-0.7778572582 1
5.6%
ValueCountFrequency (%)
2.008733423 1
5.6%
1.73373072 1
5.6%
0.5473066422 1
5.6%
0.4881977769 1
5.6%
0.4254826831 1
5.6%

ustreb10ret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2377584715
Minimum-1.865964548
Maximum1.758267681
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)72.2%
Memory size288.0 B
2025-03-30T10:46:50.337105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.865964548
5-th percentile-1.274623673
Q1-0.590246044
median-0.4352883836
Q30.0002684621595
95-th percentile1.211749401
Maximum1.758267681
Range3.624232229
Interquartile range (IQR)0.5905145062

Descriptive statistics

Standard deviation0.8140320881
Coefficient of variation (CV)-3.423777428
Kurtosis1.666515345
Mean-0.2377584715
Median Absolute Deviation (MAD)0.2941303118
Skewness0.6880557615
Sum-4.279652488
Variance0.6626482405
MonotonicityNot monotonic
2025-03-30T10:46:50.867397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.313096661 1
 
5.6%
-0.6107030717 1
 
5.6%
-0.1424134813 1
 
5.6%
-0.8084661731 1
 
5.6%
1.758267681 1
 
5.6%
-0.4480816237 1
 
5.6%
-0.5926633007 1
 
5.6%
-0.4954788309 1
 
5.6%
-0.4654279933 1
 
5.6%
1.115304998 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.865964548 1
5.6%
-1.170269401 1
5.6%
-0.8084661731 1
5.6%
-0.6107030717 1
5.6%
-0.5926633007 1
5.6%
ValueCountFrequency (%)
1.758267681 1
5.6%
1.115304998 1
5.6%
0.5486998999 1
5.6%
0.3090399277 1
5.6%
0.04699217031 1
5.6%

ustreb10ind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.154085877
Minimum-1.768489328
Maximum1.468509276
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:46:51.353262image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.768489328
5-th percentile-1.660025702
Q1-0.6842676375
median-0.1347821779
Q30.3132617545
95-th percentile1.393916414
Maximum1.468509276
Range3.236998604
Interquartile range (IQR)0.997529392

Descriptive statistics

Standard deviation0.9288370781
Coefficient of variation (CV)-6.0280481
Kurtosis-0.3684930851
Mean-0.154085877
Median Absolute Deviation (MAD)0.4892284978
Skewness-0.008465015675
Sum-2.773545786
Variance0.8627383176
MonotonicityNot monotonic
2025-03-30T10:46:51.833408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.220785084 1
 
5.6%
1.468509276 1
 
5.6%
-1.170743777 1
 
5.6%
1.031543708 1
 
5.6%
0.3686167769 1
 
5.6%
-0.2105484997 1
 
5.6%
0.2322194297 1
 
5.6%
0.08261327279 1
 
5.6%
1.380752968 1
 
5.6%
-0.4702131785 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.768489328 1
5.6%
-1.640885062 1
5.6%
-1.220785084 1
5.6%
-1.170743777 1
5.6%
-0.7556191238 1
5.6%
ValueCountFrequency (%)
1.468509276 1
5.6%
1.380752968 1
5.6%
1.031543708 1
5.6%
0.3686167769 1
5.6%
0.3402758628 1
5.6%

ustreb7ret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3703234501
Minimum-1.786603073
Maximum3.05171132
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:46:52.351389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.786603073
5-th percentile-1.443352178
Q1-0.2828996307
median0.5647783835
Q30.8314305604
95-th percentile1.848736209
Maximum3.05171132
Range4.838314393
Interquartile range (IQR)1.114330191

Descriptive statistics

Standard deviation1.117713721
Coefficient of variation (CV)3.018209409
Kurtosis1.157373631
Mean0.3703234501
Median Absolute Deviation (MAD)0.5444087229
Skewness0.2017327962
Sum6.665822102
Variance1.249283963
MonotonicityNot monotonic
2025-03-30T10:46:52.823060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.066894619 1
 
5.6%
0.6801629468 1
 
5.6%
0.2265243185 1
 
5.6%
0.6782737004 1
 
5.6%
0.6960592372 1
 
5.6%
-0.8019696018 1
 
5.6%
1.636446484 1
 
5.6%
0.4512830666 1
 
5.6%
-0.1901906422 1
 
5.6%
-0.4812684284 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.786603073 1
5.6%
-1.382778491 1
5.6%
-0.8019696018 1
5.6%
-0.4812684284 1
5.6%
-0.3138026268 1
5.6%
ValueCountFrequency (%)
3.05171132 1
5.6%
1.636446484 1
5.6%
1.151479594 1
5.6%
1.066894619 1
5.6%
0.8363700293 1
5.6%

ustreb7ind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2011827502
Minimum-2.05306125
Maximum1.032829954
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:46:53.248990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.05306125
5-th percentile-1.350099474
Q1-0.5578553313
median-0.2339535171
Q30.2730715375
95-th percentile0.8865238898
Maximum1.032829954
Range3.085891204
Interquartile range (IQR)0.8309268688

Descriptive statistics

Standard deviation0.7683653596
Coefficient of variation (CV)-3.819240759
Kurtosis0.6553411284
Mean-0.2011827502
Median Absolute Deviation (MAD)0.4825012663
Skewness-0.5764829515
Sum-3.621289504
Variance0.5903853258
MonotonicityNot monotonic
2025-03-30T10:46:53.721755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.3567092382 1
 
5.6%
0.2631649809 1
 
5.6%
-0.7018375517 1
 
5.6%
-0.4197676934 1
 
5.6%
-1.006578566 1
 
5.6%
-2.05306125 1
 
5.6%
0.8607051726 1
 
5.6%
-0.215479183 1
 
5.6%
0.1853181422 1
 
5.6%
0.5174406577 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.05306125 1
5.6%
-1.226047396 1
5.6%
-1.006578566 1
5.6%
-0.7018375517 1
5.6%
-0.6038845439 1
5.6%
ValueCountFrequency (%)
1.032829954 1
5.6%
0.8607051726 1
5.6%
0.5893280471 1
5.6%
0.5174406577 1
5.6%
0.2763737231 1
5.6%

ustreb5ret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07167304395
Minimum-1.76183399
Maximum1.603360267
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:54.180111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.76183399
5-th percentile-1.597962738
Q1-0.5308443577
median0.1593244229
Q30.4668736264
95-th percentile1.02783249
Maximum1.603360267
Range3.365194257
Interquartile range (IQR)0.9977179841

Descriptive statistics

Standard deviation0.9335192139
Coefficient of variation (CV)-13.02469049
Kurtosis-0.4016889287
Mean-0.07167304395
Median Absolute Deviation (MAD)0.5204154015
Skewness-0.451383864
Sum-1.290114791
Variance0.8714581227
MonotonicityNot monotonic
2025-03-30T10:46:54.628138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.120691582 1
 
5.6%
-1.544398179 1
 
5.6%
0.2394320214 1
 
5.6%
0.4643386546 1
 
5.6%
1.603360267 1
 
5.6%
-0.1207367427 1
 
5.6%
0.9262687641 1
 
5.6%
0.821919795 1
 
5.6%
-1.569044281 1
 
5.6%
0.467718617 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.76183399 1
5.6%
-1.569044281 1
5.6%
-1.544398179 1
5.6%
-1.120691582 1
5.6%
-0.5505242112 1
5.6%
ValueCountFrequency (%)
1.603360267 1
5.6%
0.9262687641 1
5.6%
0.821919795 1
5.6%
0.5690260055 1
5.6%
0.467718617 1
5.6%

ustreb5ind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2098605796
Minimum-2.133372073
Maximum1.122513982
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)72.2%
Memory size288.0 B
2025-03-30T10:46:55.115599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.133372073
5-th percentile-1.458379647
Q1-0.3542492673
median-0.131650578
Q30.05807256914
95-th percentile0.9098469008
Maximum1.122513982
Range3.255886055
Interquartile range (IQR)0.4123218364

Descriptive statistics

Standard deviation0.7306276087
Coefficient of variation (CV)-3.481490474
Kurtosis2.299209848
Mean-0.2098605796
Median Absolute Deviation (MAD)0.2325182848
Skewness-0.8610716625
Sum-3.777490432
Variance0.5338167026
MonotonicityNot monotonic
2025-03-30T10:46:55.549239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.1679603696 1
 
5.6%
-1.339263336 1
 
5.6%
-0.0166713044 1
 
5.6%
-0.182761328 1
 
5.6%
0.8723174159 1
 
5.6%
-2.133372073 1
 
5.6%
0.08298719365 1
 
5.6%
-0.03085076383 1
 
5.6%
-0.1592143048 1
 
5.6%
1.122513982 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.133372073 1
5.6%
-1.339263336 1
5.6%
-0.8259475131 1
5.6%
-0.6601691975 1
5.6%
-0.4114119137 1
5.6%
ValueCountFrequency (%)
1.122513982 1
5.6%
0.8723174159 1
5.6%
0.2598012106 1
5.6%
0.11874822 1
5.6%
0.08298719365 1
5.6%

ustreb2ret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01028704089
Minimum-1.949345255
Maximum2.068435341
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:56.011733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.949345255
5-th percentile-1.358058338
Q1-0.5921964076
median0.09366386752
Q30.5773147267
95-th percentile1.258531261
Maximum2.068435341
Range4.017780596
Interquartile range (IQR)1.169511134

Descriptive statistics

Standard deviation0.9691832582
Coefficient of variation (CV)-94.21399886
Kurtosis0.28085152
Mean-0.01028704089
Median Absolute Deviation (MAD)0.5924097055
Skewness0.01873386492
Sum-0.1851667359
Variance0.9393161881
MonotonicityNot monotonic
2025-03-30T10:46:56.520316image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.7270193074 1
 
5.6%
-1.949345255 1
 
5.6%
0.1065103405 1
 
5.6%
2.068435341 1
 
5.6%
-0.6732584548 1
 
5.6%
-1.253713588 1
 
5.6%
-0.1612198512 1
 
5.6%
-1.131366244 1
 
5.6%
0.9787207152 1
 
5.6%
-0.349010266 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.949345255 1
5.6%
-1.253713588 1
5.6%
-1.131366244 1
5.6%
-0.9884235828 1
5.6%
-0.6732584548 1
5.6%
ValueCountFrequency (%)
2.068435341 1
5.6%
1.115607011 1
5.6%
0.9787207152 1
5.6%
0.7270193074 1
5.6%
0.6451278388 1
5.6%

ustreb2ind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2313117827
Minimum-1.248803132
Maximum1.719144334
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:56.965506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.248803132
5-th percentile-0.8785600468
Q1-0.302057925
median0.3012360916
Q30.6863214663
95-th percentile1.540615974
Maximum1.719144334
Range2.967947467
Interquartile range (IQR)0.9883793913

Descriptive statistics

Standard deviation0.8293504531
Coefficient of variation (CV)3.585422426
Kurtosis-0.7353547077
Mean0.2313117827
Median Absolute Deviation (MAD)0.5790183759
Skewness0.07028451045
Sum4.163612089
Variance0.6878221741
MonotonicityNot monotonic
2025-03-30T10:46:57.411733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.6522557631 1
 
5.6%
1.719144334 1
 
5.6%
0.1506539267 1
 
5.6%
-1.248803132 1
 
5.6%
1.034319416 1
 
5.6%
-0.1167306449 1
 
5.6%
1.124313441 1
 
5.6%
0.5586348831 1
 
5.6%
-0.2292310028 1
 
5.6%
0.705340583 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.248803132 1
5.6%
-0.8132230316 1
5.6%
-0.6923335682 1
5.6%
-0.6522557631 1
5.6%
-0.3263335657 1
5.6%
ValueCountFrequency (%)
1.719144334 1
5.6%
1.509110969 1
5.6%
1.124313441 1
5.6%
1.034319416 1
5.6%
0.705340583 1
5.6%

ustreb1ret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2317210467
Minimum-2.238703812
Maximum1.645385325
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:46:57.863900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.238703812
5-th percentile-1.4079359
Q1-0.2743742483
median0.2943082278
Q30.9125306215
95-th percentile1.559521632
Maximum1.645385325
Range3.884089137
Interquartile range (IQR)1.18690487

Descriptive statistics

Standard deviation1.014093557
Coefficient of variation (CV)4.376354982
Kurtosis0.7372316037
Mean0.2317210467
Median Absolute Deviation (MAD)0.6669403008
Skewness-0.6896280483
Sum4.170978841
Variance1.028385742
MonotonicityNot monotonic
2025-03-30T10:46:58.331198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-2.238703812 1
 
5.6%
0.3236494415 1
 
5.6%
-0.7598176288 1
 
5.6%
0.3121408294 1
 
5.6%
-1.261329798 1
 
5.6%
0.1091740326 1
 
5.6%
0.4308707091 1
 
5.6%
-0.009852421612 1
 
5.6%
1.645385325 1
 
5.6%
-0.3625481906 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.238703812 1
5.6%
-1.261329798 1
5.6%
-0.7598176288 1
5.6%
-0.3827159554 1
5.6%
-0.3625481906 1
5.6%
ValueCountFrequency (%)
1.645385325 1
5.6%
1.544369216 1
5.6%
1.543577219 1
5.6%
1.262245333 1
5.6%
0.9904125587 1
5.6%

ustreb1ind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1146766473
Minimum-2.799191847
Maximum1.861559708
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:46:58.931610image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.799191847
5-th percentile-2.123787544
Q1-0.7688442476
median0.1192383739
Q30.6776743542
95-th percentile1.411251472
Maximum1.861559708
Range4.660751555
Interquartile range (IQR)1.446518602

Descriptive statistics

Standard deviation1.249188243
Coefficient of variation (CV)-10.89313538
Kurtosis-0.1395270368
Mean-0.1146766473
Median Absolute Deviation (MAD)0.8471930224
Skewness-0.6210858325
Sum-2.064179651
Variance1.560471267
MonotonicityNot monotonic
2025-03-30T10:46:59.479630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.165851822 1
 
5.6%
0.4991691228 1
 
5.6%
0.4975015686 1
 
5.6%
-0.8097338468 1
 
5.6%
-1.907032021 1
 
5.6%
-2.004598549 1
 
5.6%
1.861559708 1
 
5.6%
0.1778117499 1
 
5.6%
1.331785313 1
 
5.6%
1.056972333 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.799191847 1
5.6%
-2.004598549 1
5.6%
-1.907032021 1
5.6%
-1.165851822 1
5.6%
-0.8097338468 1
5.6%
ValueCountFrequency (%)
1.861559708 1
5.6%
1.331785313 1
5.6%
1.067528315 1
5.6%
1.056972333 1
5.6%
0.7371760981 1
5.6%

ustret90ret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1264385382
Minimum-1.390476993
Maximum1.382766004
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:46:59.940394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.390476993
5-th percentile-1.069259815
Q1-0.6854035757
median0.3106135469
Q30.8467325075
95-th percentile1.208916635
Maximum1.382766004
Range2.773242997
Interquartile range (IQR)1.532136083

Descriptive statistics

Standard deviation0.8595395703
Coefficient of variation (CV)6.798082158
Kurtosis-1.18260622
Mean0.1264385382
Median Absolute Deviation (MAD)0.7553034939
Skewness-0.260802337
Sum2.275893687
Variance0.7388082729
MonotonicityNot monotonic
2025-03-30T10:47:00.381271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.9607839913 1
 
5.6%
-0.6929369986 1
 
5.6%
0.4710112318 1
 
5.6%
1.382766004 1
 
5.6%
0.2575938606 1
 
5.6%
1.178237334 1
 
5.6%
0.4340516364 1
 
5.6%
0.1674481107 1
 
5.6%
-1.390476993 1
 
5.6%
-0.05400660275 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.390476993 1
5.6%
-1.012574431 1
5.6%
-0.9348396686 1
5.6%
-0.828405852 1
5.6%
-0.6929369986 1
5.6%
ValueCountFrequency (%)
1.382766004 1
5.6%
1.178237334 1
5.6%
1.1633254 1
5.6%
0.9685086816 1
5.6%
0.9607839913 1
5.6%

ustret90ind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3091887471
Minimum-2.083487185
Maximum1.751207059
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:47:00.830682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.083487185
5-th percentile-1.238485527
Q1-0.1785810175
median0.45924522
Q30.7035334506
95-th percentile1.678144642
Maximum1.751207059
Range3.834694244
Interquartile range (IQR)0.882114468

Descriptive statistics

Standard deviation0.9173381407
Coefficient of variation (CV)2.966919557
Kurtosis1.756948321
Mean0.3091887471
Median Absolute Deviation (MAD)0.3856603212
Skewness-0.9343248021
Sum5.565397448
Variance0.8415092643
MonotonicityNot monotonic
2025-03-30T10:47:01.263803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.665251274 1
 
5.6%
0.08128494703 1
 
5.6%
0.5634418013 1
 
5.6%
1.107696353 1
 
5.6%
0.6224709162 1
 
5.6%
0.3696147959 1
 
5.6%
-0.2652030056 1
 
5.6%
-0.3709923006 1
 
5.6%
-0.3411591831 1
 
5.6%
-2.083487185 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.083487185 1
5.6%
-1.089367588 1
5.6%
-0.3709923006 1
5.6%
-0.3411591831 1
5.6%
-0.2652030056 1
5.6%
ValueCountFrequency (%)
1.751207059 1
5.6%
1.665251274 1
5.6%
1.107696353 1
5.6%
0.8526055894 1
5.6%
0.7240876749 1
5.6%

ustret30ret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09777278576
Minimum-1.233752061
Maximum1.903735224
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:01.762730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.233752061
5-th percentile-1.219684362
Q1-0.815640151
median0.181651944
Q30.8514973711
95-th percentile1.301963213
Maximum1.903735224
Range3.137487285
Interquartile range (IQR)1.667137522

Descriptive statistics

Standard deviation0.9848945383
Coefficient of variation (CV)10.07329934
Kurtosis-1.192336722
Mean0.09777278576
Median Absolute Deviation (MAD)0.8267228911
Skewness0.07590105832
Sum1.759910144
Variance0.9700172515
MonotonicityNot monotonic
2025-03-30T10:47:02.219754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.501919758 1
 
5.6%
0.5391255715 1
 
5.6%
-0.9357074515 1
 
5.6%
-0.4554382497 1
 
5.6%
-1.233752061 1
 
5.6%
1.195768152 1
 
5.6%
0.08930462581 1
 
5.6%
-0.3787878012 1
 
5.6%
-0.365611009 1
 
5.6%
1.161714602 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.233752061 1
5.6%
-1.217201827 1
5.6%
-1.189459073 1
5.6%
-1.008493423 1
5.6%
-0.9357074515 1
5.6%
ValueCountFrequency (%)
1.903735224 1
5.6%
1.195768152 1
5.6%
1.182874496 1
5.6%
1.161714602 1
5.6%
0.8550350682 1
5.6%

ustret30ind
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3610647124
Minimum-1.357963677
Maximum1.833436695
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:47:02.665729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.357963677
5-th percentile-1.011369482
Q10.01026976622
median0.3375404728
Q30.9780002895
95-th percentile1.496487518
Maximum1.833436695
Range3.191400372
Interquartile range (IQR)0.9677305233

Descriptive statistics

Standard deviation0.8117539534
Coefficient of variation (CV)2.248222896
Kurtosis0.08231457091
Mean0.3610647124
Median Absolute Deviation (MAD)0.6332317333
Skewness-0.3157326552
Sum6.499164824
Variance0.6589444808
MonotonicityNot monotonic
2025-03-30T10:47:03.120341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1601932495 1
 
5.6%
-0.3444694895 1
 
5.6%
-0.005102637823 1
 
5.6%
0.5963357284 1
 
5.6%
0.9563160395 1
 
5.6%
-0.9502058004 1
 
5.6%
0.9852283729 1
 
5.6%
-1.357963677 1
 
5.6%
0.3147294699 1
 
5.6%
0.3603514758 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.357963677 1
5.6%
-0.9502058004 1
5.6%
-0.3869881177 1
5.6%
-0.3444694895 1
5.6%
-0.005102637823 1
5.6%
ValueCountFrequency (%)
1.833436695 1
5.6%
1.437025898 1
5.6%
1.148762396 1
5.6%
0.9874531127 1
5.6%
0.9852283729 1
5.6%

ustrecpiret
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03736681062
Minimum-2.02778933
Maximum1.581202765
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:47:03.598780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.02778933
5-th percentile-1.723360694
Q1-0.7226207405
median-0.04805161385
Q30.7590104289
95-th percentile1.525992722
Maximum1.581202765
Range3.608992095
Interquartile range (IQR)1.481631169

Descriptive statistics

Standard deviation1.081849654
Coefficient of variation (CV)-28.95215396
Kurtosis-0.8437896157
Mean-0.03736681062
Median Absolute Deviation (MAD)0.7997829042
Skewness-0.1375787038
Sum-0.6726025911
Variance1.170398674
MonotonicityNot monotonic
2025-03-30T10:47:04.137054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.7744703761 1
 
5.6%
-0.4803149184 1
 
5.6%
-0.4367975442 1
 
5.6%
-2.02778933 1
 
5.6%
-0.5670718337 1
 
5.6%
0.1588139917 1
 
5.6%
-1.305151637 1
 
5.6%
-0.9269953935 1
 
5.6%
0.3262703711 1
 
5.6%
0.7662895675 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.02778933 1
5.6%
-1.669637993 1
5.6%
-1.305151637 1
5.6%
-0.9269953935 1
5.6%
-0.7744703761 1
5.6%
ValueCountFrequency (%)
1.581202765 1
5.6%
1.516249773 1
5.6%
1.405907552 1
5.6%
0.9524884605 1
5.6%
0.7662895675 1
5.6%

ajexm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2417570198
Minimum-1.694435831
Maximum0.8797356951
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:47:04.672315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.694435831
5-th percentile-1.304389314
Q1-0.7571402517
median-0.2527077324
Q30.370967575
95-th percentile0.7734326942
Maximum0.8797356951
Range2.574171527
Interquartile range (IQR)1.128107827

Descriptive statistics

Standard deviation0.7611062501
Coefficient of variation (CV)-3.148228129
Kurtosis-0.8898946727
Mean-0.2417570198
Median Absolute Deviation (MAD)0.6137687751
Skewness-0.1769465845
Sum-4.351626357
Variance0.5792827239
MonotonicityNot monotonic
2025-03-30T10:47:05.208625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.3727347874 1
 
5.6%
-0.2069767816 1
 
5.6%
-0.4589297044 1
 
5.6%
0.7366967303 1
 
5.6%
-0.2984386832 1
 
5.6%
-0.1725822675 1
 
5.6%
-1.177400491 1
 
5.6%
-1.694435831 1
 
5.6%
0.3412479781 1
 
5.6%
-0.9988093573 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.694435831 1
5.6%
-1.235557575 1
5.6%
-1.177400491 1
5.6%
-0.9988093573 1
5.6%
-0.7721521609 1
5.6%
ValueCountFrequency (%)
0.8797356951 1
5.6%
0.7546733411 1
5.6%
0.7366967303 1
5.6%
0.5934288737 1
5.6%
0.3808741073 1
5.6%

ajpm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2146112464
Minimum-1.674198282
Maximum1.620843843
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:47:05.698694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.674198282
5-th percentile-1.456600496
Q1-0.913272757
median-0.2371672398
Q30.4204510184
95-th percentile0.8117710695
Maximum1.620843843
Range3.295042125
Interquartile range (IQR)1.333723775

Descriptive statistics

Standard deviation0.9008095032
Coefficient of variation (CV)-4.1974012
Kurtosis-0.7515501315
Mean-0.2146112464
Median Absolute Deviation (MAD)0.6892234777
Skewness0.1231470799
Sum-3.863002436
Variance0.8114577611
MonotonicityNot monotonic
2025-03-30T10:47:06.204768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.6079317764 1
 
5.6%
0.3707575589 1
 
5.6%
-0.5765365516 1
 
5.6%
0.5965527101 1
 
5.6%
1.620843843 1
 
5.6%
0.6689935211 1
 
5.6%
-0.8069509045 1
 
5.6%
0.3926033311 1
 
5.6%
-1.674198282 1
 
5.6%
-0.4933429501 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.674198282 1
5.6%
-1.418200887 1
5.6%
-1.266916738 1
5.6%
-1.134381176 1
5.6%
-0.9487133745 1
5.6%
ValueCountFrequency (%)
1.620843843 1
5.6%
0.6689935211 1
5.6%
0.6371833254 1
5.6%
0.5965527101 1
5.6%
0.4297335809 1
5.6%

cshtrm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03648326498
Minimum-1.813161946
Maximum1.617970579
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:47:06.712633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.813161946
5-th percentile-1.661537103
Q1-0.8299878031
median0.1670464224
Q30.5654959536
95-th percentile1.447276218
Maximum1.617970579
Range3.431132525
Interquartile range (IQR)1.395483757

Descriptive statistics

Standard deviation1.052806413
Coefficient of variation (CV)-28.85724218
Kurtosis-0.86545457
Mean-0.03648326498
Median Absolute Deviation (MAD)0.6840348875
Skewness-0.2478822333
Sum-0.6566987696
Variance1.108401343
MonotonicityNot monotonic
2025-03-30T10:47:07.184174image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.308562531 1
 
5.6%
0.2184770679 1
 
5.6%
1.417153684 1
 
5.6%
0.5460890101 1
 
5.6%
0.327011825 1
 
5.6%
0.1156157769 1
 
5.6%
0.3851239739 1
 
5.6%
-0.3584796409 1
 
5.6%
-0.5952651114 1
 
5.6%
-0.9082287003 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.813161946 1
5.6%
-1.634779778 1
5.6%
-1.597023996 1
5.6%
-1.080986416 1
5.6%
-0.9082287003 1
5.6%
ValueCountFrequency (%)
1.617970579 1
5.6%
1.417153684 1
5.6%
1.308562531 1
5.6%
0.7728046636 1
5.6%
0.5719649347 1
5.6%

prccm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0758901964
Minimum-1.732859643
Maximum1.319104537
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:07.660705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.732859643
5-th percentile-1.379879274
Q1-0.812541014
median0.1758826462
Q30.4049706227
95-th percentile1.156088306
Maximum1.319104537
Range3.05196418
Interquartile range (IQR)1.217511637

Descriptive statistics

Standard deviation0.8556325109
Coefficient of variation (CV)-11.27461189
Kurtosis-0.643030612
Mean-0.0758901964
Median Absolute Deviation (MAD)0.5167654552
Skewness-0.3368060297
Sum-1.366023535
Variance0.7321069937
MonotonicityNot monotonic
2025-03-30T10:47:08.135237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.1902212821 1
 
5.6%
0.3584057918 1
 
5.6%
0.413125121 1
 
5.6%
0.8433096283 1
 
5.6%
0.41019337 1
 
5.6%
0.2817405485 1
 
5.6%
-0.7008694489 1
 
5.6%
0.141408153 1
 
5.6%
-0.849764869 1
 
5.6%
1.127320736 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.732859643 1
5.6%
-1.31758862 1
5.6%
-1.158770193 1
5.6%
-0.8548083726 1
5.6%
-0.849764869 1
5.6%
ValueCountFrequency (%)
1.319104537 1
5.6%
1.127320736 1
5.6%
0.8433096283 1
5.6%
0.413125121 1
5.6%
0.41019337 1
5.6%

prchm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2104320544
Minimum-2.503051593
Maximum1.756958173
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:47:08.611974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.503051593
5-th percentile-1.779149673
Q1-0.8735859217
median-0.2636967866
Q30.579898193
95-th percentile1.519389899
Maximum1.756958173
Range4.260009767
Interquartile range (IQR)1.453484115

Descriptive statistics

Standard deviation1.080740034
Coefficient of variation (CV)-5.135814679
Kurtosis0.02793580646
Mean-0.2104320544
Median Absolute Deviation (MAD)0.7002764648
Skewness-0.08166066439
Sum-3.787776978
Variance1.16799902
MonotonicityNot monotonic
2025-03-30T10:47:09.080848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.843167204 1
 
5.6%
-0.2763354049 1
 
5.6%
-0.9172777515 1
 
5.6%
-0.2510581682 1
 
5.6%
1.756958173 1
 
5.6%
-0.1759978028 1
 
5.6%
-1.010668751 1
 
5.6%
-1.119186332 1
 
5.6%
-0.5927120037 1
 
5.6%
-2.503051593 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.503051593 1
5.6%
-1.651402275 1
5.6%
-1.119186332 1
5.6%
-1.010668751 1
5.6%
-0.9172777515 1
5.6%
ValueCountFrequency (%)
1.756958173 1
5.6%
1.477466086 1
5.6%
0.843167204 1
5.6%
0.7428444941 1
5.6%
0.6517875712 1
5.6%

prclm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05888602835
Minimum-1.828596316
Maximum1.583650556
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:47:09.540042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.828596316
5-th percentile-1.161127344
Q1-0.7546715094
median-0.0541548785
Q30.4398717448
95-th percentile1.188507876
Maximum1.583650556
Range3.412246872
Interquartile range (IQR)1.194543254

Descriptive statistics

Standard deviation0.8852556381
Coefficient of variation (CV)-15.03337316
Kurtosis-0.3448717804
Mean-0.05888602835
Median Absolute Deviation (MAD)0.6409953179
Skewness-0.02687671947
Sum-1.05994851
Variance0.7836775449
MonotonicityNot monotonic
2025-03-30T10:47:10.034371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.828596316 1
 
5.6%
-0.02676340113 1
 
5.6%
-1.043338702 1
 
5.6%
1.076509511 1
 
5.6%
0.4481860233 1
 
5.6%
-0.9577164979 1
 
5.6%
0.1808512144 1
 
5.6%
-0.08457555735 1
 
5.6%
-0.5172722004 1
 
5.6%
-0.8338046124 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.828596316 1
5.6%
-1.043338702 1
5.6%
-0.9719136797 1
5.6%
-0.9577164979 1
5.6%
-0.8338046124 1
5.6%
ValueCountFrequency (%)
1.583650556 1
5.6%
1.118776815 1
5.6%
1.076509511 1
5.6%
0.7518636032 1
5.6%
0.4481860233 1
5.6%

trfm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1874565947
Minimum-2.257392982
Maximum1.883757621
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:47:10.568366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.257392982
5-th percentile-1.859548439
Q1-0.2713621568
median0.4407005435
Q30.9503346153
95-th percentile1.467235027
Maximum1.883757621
Range4.141150603
Interquartile range (IQR)1.221696772

Descriptive statistics

Standard deviation1.152306637
Coefficient of variation (CV)6.147058408
Kurtosis-0.002654534918
Mean0.1874565947
Median Absolute Deviation (MAD)0.6981081199
Skewness-0.8031506683
Sum3.374218704
Variance1.327810585
MonotonicityNot monotonic
2025-03-30T10:47:11.059869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.2126184425 1
 
5.6%
-0.2294984157 1
 
5.6%
-1.789340579 1
 
5.6%
0.7271915303 1
 
5.6%
0.4210935714 1
 
5.6%
0.5407113967 1
 
5.6%
0.2303157049 1
 
5.6%
-2.257392982 1
 
5.6%
1.00847029 1
 
5.6%
1.364406174 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.257392982 1
5.6%
-1.789340579 1
5.6%
-1.598049253 1
5.6%
-0.6928307179 1
5.6%
-0.2853167372 1
5.6%
ValueCountFrequency (%)
1.883757621 1
5.6%
1.39373104 1
5.6%
1.364406174 1
5.6%
1.208116513 1
5.6%
1.00847029 1
5.6%

trt1m
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09558451302
Minimum-1.424108171
Maximum1.933613076
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:47:11.546878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.424108171
5-th percentile-1.176757956
Q1-0.48893147
median0.1411803243
Q30.7244637026
95-th percentile1.325361345
Maximum1.933613076
Range3.357721247
Interquartile range (IQR)1.213395173

Descriptive statistics

Standard deviation0.8942025898
Coefficient of variation (CV)9.35509908
Kurtosis-0.3948644037
Mean0.09558451302
Median Absolute Deviation (MAD)0.6318801759
Skewness0.08737420453
Sum1.720521234
Variance0.7995982717
MonotonicityNot monotonic
2025-03-30T10:47:12.009094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.4541618495 1
 
5.6%
-0.3762372761 1
 
5.6%
-1.133107918 1
 
5.6%
1.933613076 1
 
5.6%
0.07725766615 1
 
5.6%
0.657253778 1
 
5.6%
0.8153563616 1
 
5.6%
-0.516893341 1
 
5.6%
0.7468670108 1
 
5.6%
0.2051029825 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.424108171 1
5.6%
-1.133107918 1
5.6%
-1.121110884 1
5.6%
-0.7119361699 1
5.6%
-0.516893341 1
5.6%
ValueCountFrequency (%)
1.933613076 1
5.6%
1.218022805 1
5.6%
0.9330835771 1
5.6%
0.8153563616 1
5.6%
0.7468670108 1
5.6%

index_y
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1888994929
Minimum-3.00994108
Maximum1.705373018
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:47:13.066839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.00994108
5-th percentile-1.615323271
Q1-1.000110374
median-0.2981590889
Q30.6212390843
95-th percentile1.613475092
Maximum1.705373018
Range4.715314098
Interquartile range (IQR)1.621349459

Descriptive statistics

Standard deviation1.232334106
Coefficient of variation (CV)-6.523755499
Kurtosis0.1378299969
Mean-0.1888994929
Median Absolute Deviation (MAD)0.7786698014
Skewness-0.2438600938
Sum-3.400190873
Variance1.518647348
MonotonicityNot monotonic
2025-03-30T10:47:13.541308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.1944597312 1
 
5.6%
-0.8125685674 1
 
5.6%
-1.369214246 1
 
5.6%
1.59725781 1
 
5.6%
1.485511887 1
 
5.6%
-0.4442491215 1
 
5.6%
0.6673434277 1
 
5.6%
1.146069423 1
 
5.6%
1.705373018 1
 
5.6%
-1.002482381 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-3.00994108 1
5.6%
-1.369214246 1
5.6%
-1.284307732 1
5.6%
-1.074413549 1
5.6%
-1.002482381 1
5.6%
ValueCountFrequency (%)
1.705373018 1
5.6%
1.59725781 1
5.6%
1.485511887 1
5.6%
1.146069423 1
5.6%
0.6673434277 1
5.6%

CAPEI
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07194501378
Minimum-1.036158742
Maximum1.913751611
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:47:14.014953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.036158742
5-th percentile-0.9603576142
Q1-0.5890717535
median-0.09388827807
Q30.727770432
95-th percentile1.479593145
Maximum1.913751611
Range2.949910353
Interquartile range (IQR)1.316842185

Descriptive statistics

Standard deviation0.8745146988
Coefficient of variation (CV)12.15532047
Kurtosis-0.5643079253
Mean0.07194501378
Median Absolute Deviation (MAD)0.650539019
Skewness0.6438649544
Sum1.295010248
Variance0.7647759584
MonotonicityNot monotonic
2025-03-30T10:47:14.540858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.402976945 1
 
5.6%
1.913751611 1
 
5.6%
-0.7757981694 1
 
5.6%
-0.4360896631 1
 
5.6%
-0.01153860612 1
 
5.6%
-0.8774123554 1
 
5.6%
-1.036158742 1
 
5.6%
-0.3986919 1
 
5.6%
0.5252798685 1
 
5.6%
-0.9469809445 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.036158742 1
5.6%
-0.9469809445 1
5.6%
-0.8774123554 1
5.6%
-0.7757981694 1
5.6%
-0.6400657836 1
5.6%
ValueCountFrequency (%)
1.913751611 1
5.6%
1.402976945 1
5.6%
1.087904274 1
5.6%
1.05233794 1
5.6%
0.7952672865 1
5.6%

bm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06238737801
Minimum-1.471450244
Maximum2.136725636
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:47:15.057201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.471450244
5-th percentile-1.252116972
Q1-0.7678755341
median-0.05985092826
Q30.6455967968
95-th percentile1.848065789
Maximum2.136725636
Range3.60817588
Interquartile range (IQR)1.413472331

Descriptive statistics

Standard deviation1.02379291
Coefficient of variation (CV)16.41025706
Kurtosis-0.4321849141
Mean0.06238737801
Median Absolute Deviation (MAD)0.7512114397
Skewness0.5184172665
Sum1.122972804
Variance1.048151924
MonotonicityNot monotonic
2025-03-30T10:47:15.570541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.2480247167 1
 
5.6%
-0.1447563286 1
 
5.6%
1.143936313 1
 
5.6%
-1.471450244 1
 
5.6%
1.797125817 1
 
5.6%
1.177431449 1
 
5.6%
-0.7889529461 1
 
5.6%
-1.213411101 1
 
5.6%
0.02505447204 1
 
5.6%
-0.9889103585 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.471450244 1
5.6%
-1.213411101 1
5.6%
-0.9889103585 1
5.6%
-0.8331717898 1
5.6%
-0.7889529461 1
5.6%
ValueCountFrequency (%)
2.136725636 1
5.6%
1.797125817 1
5.6%
1.177431449 1
5.6%
1.143936313 1
5.6%
0.7504960008 1
5.6%

evm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4837627935
Minimum-2.887634301
Maximum3.13353666
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)72.2%
Memory size288.0 B
2025-03-30T10:47:16.044493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.887634301
5-th percentile-2.100607956
Q1-1.336139061
median-0.8257754702
Q30.1186458238
95-th percentile2.213564285
Maximum3.13353666
Range6.02117096
Interquartile range (IQR)1.454784885

Descriptive statistics

Standard deviation1.443964256
Coefficient of variation (CV)-2.984860092
Kurtosis1.391233833
Mean-0.4837627935
Median Absolute Deviation (MAD)0.7496655682
Skewness0.980482218
Sum-8.707730283
Variance2.085032773
MonotonicityNot monotonic
2025-03-30T10:47:16.510877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.4428704145 1
 
5.6%
-0.7276538238 1
 
5.6%
-0.07658856032 1
 
5.6%
3.13353666 1
 
5.6%
-1.258621257 1
 
5.6%
0.1931590557 1
 
5.6%
-1.961720954 1
 
5.6%
-1.361978329 1
 
5.6%
-0.9276402379 1
 
5.6%
0.1837239519 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.887634301 1
5.6%
-1.961720954 1
5.6%
-1.7664252 1
5.6%
-1.575919697 1
5.6%
-1.361978329 1
5.6%
ValueCountFrequency (%)
3.13353666 1
5.6%
2.051216219 1
5.6%
0.8428098457 1
5.6%
0.1931590557 1
5.6%
0.1837239519 1
5.6%

pe_op_basic
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04613228758
Minimum-1.504784892
Maximum3.145761587
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:47:16.982031image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.504784892
5-th percentile-1.148819979
Q1-0.5140683202
median-0.2243676799
Q30.3364781954
95-th percentile1.84461795
Maximum3.145761587
Range4.650546479
Interquartile range (IQR)0.8505465156

Descriptive statistics

Standard deviation1.058583358
Coefficient of variation (CV)22.94669121
Kurtosis3.556507906
Mean0.04613228758
Median Absolute Deviation (MAD)0.4661761809
Skewness1.562521433
Sum0.8303811765
Variance1.120598726
MonotonicityNot monotonic
2025-03-30T10:47:17.614858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.504784892 1
 
5.6%
0.3304113224 1
 
5.6%
3.145761587 1
 
5.6%
-0.2691498357 1
 
5.6%
-0.730823951 1
 
5.6%
-0.3632544045 1
 
5.6%
0.1340240662 1
 
5.6%
1.615004368 1
 
5.6%
-0.6502637708 1
 
5.6%
-0.3173484554 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.504784892 1
5.6%
-1.086002641 1
5.6%
-0.730823951 1
5.6%
-0.6502637708 1
5.6%
-0.5141866063 1
5.6%
ValueCountFrequency (%)
3.145761587 1
5.6%
1.615004368 1
5.6%
0.9684414083 1
5.6%
0.3672154258 1
5.6%
0.3385004864 1
5.6%

pe_op_dil
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4335066334
Minimum-1.696808088
Maximum2.033459078
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:47:18.147937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.696808088
5-th percentile-1.113799174
Q10.02601864954
median0.6908271823
Q31.021726893
95-th percentile1.67003731
Maximum2.033459078
Range3.730267167
Interquartile range (IQR)0.9957082437

Descriptive statistics

Standard deviation0.9524573006
Coefficient of variation (CV)2.197099715
Kurtosis0.1380586668
Mean0.4335066334
Median Absolute Deviation (MAD)0.5015123883
Skewness-0.6119941892
Sum7.803119402
Variance0.9071749096
MonotonicityNot monotonic
2025-03-30T10:47:18.670136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1321275357 1
 
5.6%
-0.6682065954 1
 
5.6%
0.6391317587 1
 
5.6%
0.8261929892 1
 
5.6%
1.605904057 1
 
5.6%
-1.010915248 1
 
5.6%
0.299811576 1
 
5.6%
0.9773347619 1
 
5.6%
1.03652427 1
 
5.6%
0.1840241448 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.696808088 1
5.6%
-1.010915248 1
5.6%
-0.6682065954 1
5.6%
-0.5584159659 1
5.6%
-0.009350979168 1
5.6%
ValueCountFrequency (%)
2.033459078 1
5.6%
1.605904057 1
5.6%
1.187048921 1
5.6%
1.182955376 1
5.6%
1.03652427 1
5.6%

pe_exi
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2458039835
Minimum-1.734343389
Maximum1.722100808
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:47:19.163273image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.734343389
5-th percentile-1.310666972
Q1-0.6599287715
median-0.1181659582
Q30.140149271
95-th percentile0.7504219446
Maximum1.722100808
Range3.456444197
Interquartile range (IQR)0.8000780425

Descriptive statistics

Standard deviation0.7784702258
Coefficient of variation (CV)-3.167036655
Kurtosis1.532547373
Mean-0.2458039835
Median Absolute Deviation (MAD)0.3662939703
Skewness0.419287695
Sum-4.424471704
Variance0.6060158925
MonotonicityNot monotonic
2025-03-30T10:47:19.633832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.5789492039 1
 
5.6%
-0.6704037796 1
 
5.6%
0.2324462876 1
 
5.6%
-0.08633759035 1
 
5.6%
-0.8326360607 1
 
5.6%
-0.1029523679 1
 
5.6%
-1.235900546 1
 
5.6%
-1.217214991 1
 
5.6%
0.2064855044 1
 
5.6%
-0.500141653 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.734343389 1
5.6%
-1.235900546 1
5.6%
-1.217214991 1
5.6%
-0.8326360607 1
5.6%
-0.6704037796 1
5.6%
ValueCountFrequency (%)
1.722100808 1
5.6%
0.5789492039 1
5.6%
0.2324462876 1
5.6%
0.2064855044 1
5.6%
0.1533251793 1
5.6%

pe_inc
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.089870746
Minimum-1.69769819
Maximum1.993628783
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:47:20.141855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.69769819
5-th percentile-1.512957565
Q1-0.5678143322
median-0.1552752352
Q31.094493211
95-th percentile1.8557151
Maximum1.993628783
Range3.691326973
Interquartile range (IQR)1.662307543

Descriptive statistics

Standard deviation1.144816036
Coefficient of variation (CV)12.73847261
Kurtosis-1.124020168
Mean0.089870746
Median Absolute Deviation (MAD)0.9366537394
Skewness0.1346781033
Sum1.617673428
Variance1.310603757
MonotonicityNot monotonic
2025-03-30T10:47:20.621041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.480356278 1
 
5.6%
0.6329174845 1
 
5.6%
-1.361724777 1
 
5.6%
0.929839524 1
 
5.6%
1.993628783 1
 
5.6%
-0.9323541268 1
 
5.6%
-0.5275176379 1
 
5.6%
1.32408237 1
 
5.6%
-0.4937803505 1
 
5.6%
-0.5812465636 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.69769819 1
5.6%
-1.480356278 1
5.6%
-1.361724777 1
5.6%
-0.9323541268 1
5.6%
-0.5812465636 1
5.6%
ValueCountFrequency (%)
1.993628783 1
5.6%
1.831377391 1
5.6%
1.32408237 1
5.6%
1.289290873 1
5.6%
1.149377773 1
5.6%

ps
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3311108452
Minimum-2.425142914
Maximum1.610137204
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:47:21.190400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.425142914
5-th percentile-1.907222687
Q1-1.145862356
median-0.331925494
Q30.261753544
95-th percentile1.30640768
Maximum1.610137204
Range4.035280118
Interquartile range (IQR)1.4076159

Descriptive statistics

Standard deviation1.055371335
Coefficient of variation (CV)-3.187365652
Kurtosis-0.2568528942
Mean-0.3311108452
Median Absolute Deviation (MAD)0.7257919697
Skewness-0.1166124926
Sum-5.959995213
Variance1.113808655
MonotonicityNot monotonic
2025-03-30T10:47:21.853518image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.3963835146 1
 
5.6%
-0.3219599151 1
 
5.6%
-2.425142914 1
 
5.6%
-0.5116933678 1
 
5.6%
0.3043336719 1
 
5.6%
0.09998355681 1
 
5.6%
-0.3418910729 1
 
5.6%
0.4833992795 1
 
5.6%
-0.9261458033 1
 
5.6%
-1.234941893 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.425142914 1
5.6%
-1.815825 1
5.6%
-1.472535517 1
5.6%
-1.234941893 1
5.6%
-1.219101208 1
5.6%
ValueCountFrequency (%)
1.610137204 1
5.6%
1.252808352 1
5.6%
0.7262547498 1
5.6%
0.4833992795 1
5.6%
0.3043336719 1
5.6%

pcf
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2535553178
Minimum-1.880671344
Maximum1.314444574
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:47:22.538676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.880671344
5-th percentile-1.474204708
Q1-0.7683525797
median-0.4190522521
Q30.5303935994
95-th percentile0.846942489
Maximum1.314444574
Range3.195115919
Interquartile range (IQR)1.298746179

Descriptive statistics

Standard deviation0.8896997677
Coefficient of variation (CV)-3.508898079
Kurtosis-0.8674055493
Mean-0.2535553178
Median Absolute Deviation (MAD)0.843132566
Skewness-0.07527207873
Sum-4.563995721
Variance0.7915656767
MonotonicityNot monotonic
2025-03-30T10:47:23.297377image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.5203635098 1
 
5.6%
0.4845294829 1
 
5.6%
-1.402475302 1
 
5.6%
-1.880671344 1
 
5.6%
-0.7184714213 1
 
5.6%
-0.4204077316 1
 
5.6%
0.5456816382 1
 
5.6%
-0.7849796324 1
 
5.6%
1.314444574 1
 
5.6%
0.5596428719 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.880671344 1
5.6%
-1.402475302 1
5.6%
-1.359727752 1
5.6%
-1.201735649 1
5.6%
-0.7849796324 1
5.6%
ValueCountFrequency (%)
1.314444574 1
5.6%
0.764442121 1
5.6%
0.733640786 1
5.6%
0.5596428719 1
5.6%
0.5456816382 1
5.6%

npm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04848452095
Minimum-2.03800097
Maximum2.40706365
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:47:23.864060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.03800097
5-th percentile-1.623416893
Q1-0.4980741807
median-0.05948754927
Q30.4380188205
95-th percentile1.230645675
Maximum2.40706365
Range4.44506462
Interquartile range (IQR)0.9360930012

Descriptive statistics

Standard deviation0.9944885649
Coefficient of variation (CV)-20.51146521
Kurtosis1.557623845
Mean-0.04848452095
Median Absolute Deviation (MAD)0.5183727577
Skewness0.298140222
Sum-0.8727213771
Variance0.9890075058
MonotonicityNot monotonic
2025-03-30T10:47:24.311644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.2503962663 1
 
5.6%
0.5005596719 1
 
5.6%
-1.008229174 1
 
5.6%
-0.5361858434 1
 
5.6%
-0.1983463359 1
 
5.6%
-2.03800097 1
 
5.6%
-1.550254997 1
 
5.6%
-0.7491066968 1
 
5.6%
2.40706365 1
 
5.6%
0.779040744 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.03800097 1
5.6%
-1.550254997 1
5.6%
-1.008229174 1
5.6%
-0.7491066968 1
5.6%
-0.5361858434 1
5.6%
ValueCountFrequency (%)
2.40706365 1
5.6%
1.023042503 1
5.6%
0.779040744 1
5.6%
0.5902271818 1
5.6%
0.5005596719 1
5.6%

opmbd
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1123185382
Minimum-1.426827457
Maximum2.137454446
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:47:24.789503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.426827457
5-th percentile-1.238892337
Q1-0.7067161404
median0.2021825428
Q30.7480956497
95-th percentile1.698276138
Maximum2.137454446
Range3.564281903
Interquartile range (IQR)1.45481179

Descriptive statistics

Standard deviation0.9913005853
Coefficient of variation (CV)8.82579671
Kurtosis-0.5267571383
Mean0.1123185382
Median Absolute Deviation (MAD)0.812855742
Skewness0.333184092
Sum2.021733688
Variance0.9826768503
MonotonicityNot monotonic
2025-03-30T10:47:25.322094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.9683065133 1
 
5.6%
1.620774083 1
 
5.6%
0.28159441 1
 
5.6%
0.251475819 1
 
5.6%
-0.9454409434 1
 
5.6%
0.2875291202 1
 
5.6%
-0.7428421915 1
 
5.6%
1.172982079 1
 
5.6%
2.137454446 1
 
5.6%
0.05750110024 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.426827457 1
5.6%
-1.205727316 1
5.6%
-0.9454409434 1
5.6%
-0.7428421915 1
5.6%
-0.7254584926 1
5.6%
ValueCountFrequency (%)
2.137454446 1
5.6%
1.620774083 1
5.6%
1.172982079 1
5.6%
0.9683065133 1
5.6%
0.8167564739 1
5.6%

opmad
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0964420158
Minimum-1.633865664
Maximum1.397514732
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:47:25.807915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.633865664
5-th percentile-1.347197294
Q1-0.5759906478
median-0.07457792172
Q30.2368600735
95-th percentile1.017501078
Maximum1.397514732
Range3.031380396
Interquartile range (IQR)0.8128507213

Descriptive statistics

Standard deviation0.8071815002
Coefficient of variation (CV)-8.369604197
Kurtosis-0.3201889952
Mean-0.0964420158
Median Absolute Deviation (MAD)0.4543660119
Skewness-0.1136998615
Sum-1.735956284
Variance0.6515419743
MonotonicityNot monotonic
2025-03-30T10:47:26.286562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.2381248383 1
 
5.6%
0.6676065266 1
 
5.6%
1.397514732 1
 
5.6%
0.2274597786 1
 
5.6%
0.2399935051 1
 
5.6%
-0.06873259359 1
 
5.6%
-1.069930566 1
 
5.6%
-0.6687385187 1
 
5.6%
-0.297747035 1
 
5.6%
-0.08042324986 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.633865664 1
5.6%
-1.296608758 1
5.6%
-1.069930566 1
5.6%
-0.887465732 1
5.6%
-0.6687385187 1
5.6%
ValueCountFrequency (%)
1.397514732 1
5.6%
0.9504398451 1
5.6%
0.9172338452 1
5.6%
0.6676065266 1
5.6%
0.2399935051 1
5.6%

gpm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3692018969
Minimum-2.044178903
Maximum0.9267623599
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)72.2%
Memory size288.0 B
2025-03-30T10:47:26.761991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.044178903
5-th percentile-1.305109165
Q1-0.9071379734
median-0.2800523882
Q30.02674897874
95-th percentile0.65842492
Maximum0.9267623599
Range2.970941263
Interquartile range (IQR)0.9338869521

Descriptive statistics

Standard deviation0.7310219284
Coefficient of variation (CV)-1.980005885
Kurtosis0.2481118783
Mean-0.3692018969
Median Absolute Deviation (MAD)0.5328562126
Skewness-0.3535738758
Sum-6.645634144
Variance0.5343930598
MonotonicityNot monotonic
2025-03-30T10:47:27.251835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.4493915471 1
 
5.6%
-0.002987170205 1
 
5.6%
-0.1814099739 1
 
5.6%
-0.6961201135 1
 
5.6%
-1.048612598 1
 
5.6%
-0.01881805189 1
 
5.6%
0.6110712542 1
 
5.6%
-0.4125085809 1
 
5.6%
-0.09991085697 1
 
5.6%
0.9267623599 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.044178903 1
5.6%
-1.174685094 1
5.6%
-1.048612598 1
5.6%
-0.9690698477 1
5.6%
-0.9097734043 1
5.6%
ValueCountFrequency (%)
0.9267623599 1
5.6%
0.6110712542 1
5.6%
0.4493915471 1
5.6%
0.1664807447 1
5.6%
0.03666102839 1
5.6%

ptpm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2245867171
Minimum-0.9009309448
Maximum1.902908966
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:27.770162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9009309448
5-th percentile-0.8556707376
Q1-0.5156462467
median0.1133308298
Q30.6584384359
95-th percentile1.749445053
Maximum1.902908966
Range2.803839911
Interquartile range (IQR)1.174084683

Descriptive statistics

Standard deviation0.8605157807
Coefficient of variation (CV)3.831552426
Kurtosis-0.482868745
Mean0.2245867171
Median Absolute Deviation (MAD)0.6642176847
Skewness0.648082655
Sum4.042560907
Variance0.7404874088
MonotonicityNot monotonic
2025-03-30T10:47:28.278739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.024230234 1
 
5.6%
-0.09351449635 1
 
5.6%
-0.8476836423 1
 
5.6%
1.494631565 1
 
5.6%
-0.3520259813 1
 
5.6%
-0.6197477293 1
 
5.6%
-0.5960223965 1
 
5.6%
-0.9009309448 1
 
5.6%
0.2256024917 1
 
5.6%
0.2561072451 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.9009309448 1
5.6%
-0.8476836423 1
5.6%
-0.6197477293 1
5.6%
-0.5960223965 1
5.6%
-0.5701863351 1
5.6%
ValueCountFrequency (%)
1.902908966 1
5.6%
1.722363186 1
5.6%
1.494631565 1
5.6%
1.024230234 1
5.6%
0.7582490342 1
5.6%

cfm
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2723319281
Minimum-1.260911136
Maximum2.538908374
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:28.772814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.260911136
5-th percentile-1.231115731
Q1-0.341620335
median0.1140881015
Q30.8057397873
95-th percentile2.268576272
Maximum2.538908374
Range3.799819509
Interquartile range (IQR)1.147360122

Descriptive statistics

Standard deviation1.084153794
Coefficient of variation (CV)3.981001425
Kurtosis-0.09698829697
Mean0.2723319281
Median Absolute Deviation (MAD)0.6893219604
Skewness0.6297161195
Sum4.901974707
Variance1.175389449
MonotonicityNot monotonic
2025-03-30T10:47:29.287320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2.220870607 1
 
5.6%
-1.225857718 1
 
5.6%
1.333400234 1
 
5.6%
0.147192375 1
 
5.6%
0.08098382807 1
 
5.6%
2.538908374 1
 
5.6%
0.7987506112 1
 
5.6%
-0.3659248129 1
 
5.6%
1.455660403 1
 
5.6%
-0.2687069012 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.260911136 1
5.6%
-1.225857718 1
5.6%
-0.9418245437 1
5.6%
-0.6465282198 1
5.6%
-0.3659248129 1
5.6%
ValueCountFrequency (%)
2.538908374 1
5.6%
2.220870607 1
5.6%
1.455660403 1
5.6%
1.333400234 1
5.6%
0.8080695127 1
5.6%

roa
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2588951747
Minimum-1.346675723
Maximum2.230686513
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:47:29.818416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.346675723
5-th percentile-1.165013842
Q1-0.2867988031
median0.3113637958
Q30.7721152834
95-th percentile1.781636207
Maximum2.230686513
Range3.577362235
Interquartile range (IQR)1.058914087

Descriptive statistics

Standard deviation0.9831150163
Coefficient of variation (CV)3.797347777
Kurtosis-0.3416865992
Mean0.2588951747
Median Absolute Deviation (MAD)0.4958634838
Skewness0.1322470752
Sum4.660113145
Variance0.9665151353
MonotonicityNot monotonic
2025-03-30T10:47:30.329229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.7949191943 1
 
5.6%
0.359360163 1
 
5.6%
-0.3296727956 1
 
5.6%
1.404087144 1
 
5.6%
-1.346675723 1
 
5.6%
0.7037035509 1
 
5.6%
2.230686513 1
 
5.6%
-0.1581768256 1
 
5.6%
1.702392035 1
 
5.6%
0.4900137494 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.346675723 1
5.6%
-1.132955863 1
5.6%
-0.9782678267 1
5.6%
-0.9482466267 1
5.6%
-0.3296727956 1
5.6%
ValueCountFrequency (%)
2.230686513 1
5.6%
1.702392035 1
5.6%
1.404087144 1
5.6%
0.8195353648 1
5.6%
0.7949191943 1
5.6%

roe
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1669196618
Minimum-1.194407518
Maximum1.641158602
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:47:30.861418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.194407518
5-th percentile-1.073631958
Q1-0.5439650717
median0.3043496256
Q30.8525654536
95-th percentile1.591897342
Maximum1.641158602
Range2.83556612
Interquartile range (IQR)1.396530525

Descriptive statistics

Standard deviation0.8992769218
Coefficient of variation (CV)5.387483489
Kurtosis-1.035014441
Mean0.1669196618
Median Absolute Deviation (MAD)0.7812416539
Skewness0.09434708112
Sum3.004553912
Variance0.808698982
MonotonicityNot monotonic
2025-03-30T10:47:31.418590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.3580995829 1
 
5.6%
0.9855421741 1
 
5.6%
0.3353612847 1
 
5.6%
1.641158602 1
 
5.6%
0.08206341551 1
 
5.6%
-0.7312999291 1
 
5.6%
1.02795155 1
 
5.6%
0.3104156446 1
 
5.6%
-1.0322114 1
 
5.6%
0.2982836065 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.194407518 1
5.6%
-1.052318624 1
5.6%
-1.0322114 1
5.6%
-0.7312999291 1
5.6%
-0.5471095096 1
5.6%
ValueCountFrequency (%)
1.641158602 1
5.6%
1.583204178 1
5.6%
1.266237438 1
5.6%
1.02795155 1
5.6%
0.9855421741 1
5.6%

roce
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1980099968
Minimum-1.808472183
Maximum1.751825452
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)72.2%
Memory size288.0 B
2025-03-30T10:47:31.935740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.808472183
5-th percentile-1.503598795
Q1-0.6763063277
median-0.08091229466
Q30.138247465
95-th percentile0.9997736919
Maximum1.751825452
Range3.560297635
Interquartile range (IQR)0.8145537927

Descriptive statistics

Standard deviation0.8196669938
Coefficient of variation (CV)-4.139523292
Kurtosis1.156027528
Mean-0.1980099968
Median Absolute Deviation (MAD)0.5707680547
Skewness0.2991780052
Sum-3.564179942
Variance0.6718539807
MonotonicityNot monotonic
2025-03-30T10:47:32.541487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.6695612297 1
 
5.6%
1.751825452 1
 
5.6%
0.2006736846 1
 
5.6%
-0.2072494482 1
 
5.6%
-0.08677383481 1
 
5.6%
-1.449797609 1
 
5.6%
-0.8046572632 1
 
5.6%
-0.04903119381 1
 
5.6%
-0.04930224437 1
 
5.6%
0.8670586754 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.808472183 1
5.6%
-1.449797609 1
5.6%
-0.8046572632 1
5.6%
-0.6818219023 1
5.6%
-0.6785546937 1
5.6%
ValueCountFrequency (%)
1.751825452 1
5.6%
0.8670586754 1
5.6%
0.5652933167 1
5.6%
0.2964309332 1
5.6%
0.2006736846 1
5.6%

aftret_eq
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09226756965
Minimum-2.298758285
Maximum1.586895844
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:47:33.032431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.298758285
5-th percentile-2.286180783
Q1-0.6475539534
median0.01641822259
Q30.8638058807
95-th percentile1.159497257
Maximum1.586895844
Range3.885654128
Interquartile range (IQR)1.511359834

Descriptive statistics

Standard deviation1.141642213
Coefficient of variation (CV)-12.37316879
Kurtosis-0.3649360423
Mean-0.09226756965
Median Absolute Deviation (MAD)0.8459174327
Skewness-0.6411823073
Sum-1.660816254
Variance1.303346943
MonotonicityNot monotonic
2025-03-30T10:47:33.571498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.586895844 1
 
5.6%
0.2951238363 1
 
5.6%
-1.481566722 1
 
5.6%
1.001536433 1
 
5.6%
-2.298758285 1
 
5.6%
-0.7161717026 1
 
5.6%
0.2146874897 1
 
5.6%
0.8723321094 1
 
5.6%
0.8652761062 1
 
5.6%
-0.2837314295 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.298758285 1
5.6%
-2.283961224 1
5.6%
-1.481566722 1
5.6%
-1.084320655 1
5.6%
-0.7161717026 1
5.6%
ValueCountFrequency (%)
1.586895844 1
5.6%
1.084073977 1
5.6%
1.001536433 1
5.6%
0.8723321094 1
5.6%
0.8652761062 1
5.6%

aftret_invcapx
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1809029781
Minimum-1.461421036
Maximum1.110051924
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:47:34.058822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.461421036
5-th percentile-1.404139337
Q1-0.5455941877
median-0.1231207307
Q30.3573378567
95-th percentile0.7462316376
Maximum1.110051924
Range2.57147296
Interquartile range (IQR)0.9029320444

Descriptive statistics

Standard deviation0.7416896468
Coefficient of variation (CV)-4.099930552
Kurtosis-0.7414480514
Mean-0.1809029781
Median Absolute Deviation (MAD)0.4773266742
Skewness-0.3113918464
Sum-3.256253605
Variance0.5501035321
MonotonicityNot monotonic
2025-03-30T10:47:34.579876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.113905169 1
 
5.6%
-1.138389432 1
 
5.6%
-0.08898935888 1
 
5.6%
0.4691051699 1
 
5.6%
-0.5878988957 1
 
5.6%
0.36046977 1
 
5.6%
0.4295009883 1
 
5.6%
-0.1572521026 1
 
5.6%
0.347942117 1
 
5.6%
-0.366363462 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.461421036 1
5.6%
-1.394030802 1
5.6%
-1.138389432 1
5.6%
-1.113905169 1
5.6%
-0.5878988957 1
5.6%
ValueCountFrequency (%)
1.110051924 1
5.6%
0.6820280576 1
5.6%
0.4691051699 1
5.6%
0.4295009883 1
5.6%
0.36046977 1
5.6%

aftret_equity
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2994347286
Minimum-1.469573024
Maximum1.862595099
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:47:35.049183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.469573024
5-th percentile-0.939179972
Q1-0.3499811122
median0.2676368578
Q31.040907507
95-th percentile1.529496921
Maximum1.862595099
Range3.332168122
Interquartile range (IQR)1.390888619

Descriptive statistics

Standard deviation0.8890094857
Coefficient of variation (CV)2.968959178
Kurtosis-0.5818917731
Mean0.2994347286
Median Absolute Deviation (MAD)0.6444825023
Skewness-0.06302265175
Sum5.389825115
Variance0.7903378657
MonotonicityNot monotonic
2025-03-30T10:47:35.561039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.47071489 1
 
5.6%
-1.469573024 1
 
5.6%
-0.489960269 1
 
5.6%
-0.8455811982 1
 
5.6%
0.1348092601 1
 
5.6%
0.7571243357 1
 
5.6%
1.178426958 1
 
5.6%
1.135501897 1
 
5.6%
-0.3592908396 1
 
5.6%
1.862595099 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.469573024 1
5.6%
-0.8455811982 1
5.6%
-0.489960269 1
5.6%
-0.3944004494 1
5.6%
-0.3592908396 1
5.6%
ValueCountFrequency (%)
1.862595099 1
5.6%
1.47071489 1
5.6%
1.301965987 1
5.6%
1.178426958 1
5.6%
1.135501897 1
5.6%

GProf
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1302671606
Minimum-2.21523575
Maximum1.428297225
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)66.7%
Memory size288.0 B
2025-03-30T10:47:36.104451image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.21523575
5-th percentile-1.398867998
Q1-0.4561127228
median-0.267812839
Q30.2167159742
95-th percentile1.32928664
Maximum1.428297225
Range3.643532976
Interquartile range (IQR)0.6728286969

Descriptive statistics

Standard deviation0.8695502217
Coefficient of variation (CV)-6.675129924
Kurtosis1.132837777
Mean-0.1302671606
Median Absolute Deviation (MAD)0.303550109
Skewness-0.2412814661
Sum-2.344808891
Variance0.7561175881
MonotonicityNot monotonic
2025-03-30T10:47:36.619271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.254803101 1
 
5.6%
1.311814183 1
 
5.6%
-0.08711545265 1
 
5.6%
-0.4008614326 1
 
5.6%
-2.21523575 1
 
5.6%
1.428297225 1
 
5.6%
-0.4505734616 1
 
5.6%
-0.167160507 1
 
5.6%
0.8945537405 1
 
5.6%
0.2002464259 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.21523575 1
5.6%
-1.254803101 1
5.6%
-0.6813258209 1
5.6%
-0.461400075 1
5.6%
-0.4579591432 1
5.6%
ValueCountFrequency (%)
1.428297225 1
5.6%
1.311814183 1
5.6%
0.8945537405 1
5.6%
0.6504395122 1
5.6%
0.2222058236 1
5.6%

equity_invcap
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4675549822
Minimum-1.884289186
Maximum1.014606096
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:47:37.116395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.884289186
5-th percentile-1.611009265
Q1-1.184486196
median-0.3502018544
Q30.2605669241
95-th percentile0.4939533272
Maximum1.014606096
Range2.898895282
Interquartile range (IQR)1.445053121

Descriptive statistics

Standard deviation0.8351428591
Coefficient of variation (CV)-1.786191766
Kurtosis-1.168633721
Mean-0.4675549822
Median Absolute Deviation (MAD)0.7104015278
Skewness-0.04904652283
Sum-8.415989679
Variance0.6974635951
MonotonicityNot monotonic
2025-03-30T10:47:37.633253image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1001431086 1
 
5.6%
-0.7274643057 1
 
5.6%
-0.1502952606 1
 
5.6%
-1.562783397 1
 
5.6%
-1.161885436 1
 
5.6%
-1.884289186 1
 
5.6%
0.3140415293 1
 
5.6%
-1.012193419 1
 
5.6%
0.3937216835 1
 
5.6%
0.4020734267 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.884289186 1
5.6%
-1.562783397 1
5.6%
-1.40891041 1
5.6%
-1.257997877 1
5.6%
-1.192019783 1
5.6%
ValueCountFrequency (%)
1.014606096 1
5.6%
0.4020734267 1
5.6%
0.3937216835 1
5.6%
0.3266776634 1
5.6%
0.3140415293 1
5.6%

debt_invcap
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1354948551
Minimum-2.93093124
Maximum1.600695657
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:47:38.128463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.93093124
5-th percentile-2.855515532
Q1-0.5453827091
median-0.1749830485
Q30.9381313941
95-th percentile1.436028578
Maximum1.600695657
Range4.531626897
Interquartile range (IQR)1.483514103

Descriptive statistics

Standard deviation1.311100058
Coefficient of variation (CV)-9.676382601
Kurtosis0.461859337
Mean-0.1354948551
Median Absolute Deviation (MAD)0.7046111756
Skewness-0.7554440082
Sum-2.438907392
Variance1.718983363
MonotonicityNot monotonic
2025-03-30T10:47:38.586039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.7172873922 1
 
5.6%
-0.1288371119 1
 
5.6%
-0.4519895563 1
 
5.6%
-1.268947235 1
 
5.6%
1.357186801 1
 
5.6%
-2.842206877 1
 
5.6%
1.600695657 1
 
5.6%
-0.1577117048 1
 
5.6%
1.020196872 1
 
5.6%
0.691934959 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.93093124 1
5.6%
-2.842206877 1
5.6%
-1.268947235 1
5.6%
-0.7172873922 1
5.6%
-0.5669050163 1
5.6%
ValueCountFrequency (%)
1.600695657 1
5.6%
1.406969682 1
5.6%
1.366163752 1
5.6%
1.357186801 1
5.6%
1.020196872 1
5.6%

totdebt_invcap
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.374624562
Minimum-0.9789770918
Maximum3.065474527
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:47:39.053850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9789770918
5-th percentile-0.9353576152
Q1-0.1699574313
median0.2322250839
Q30.6358623448
95-th percentile2.154298964
Maximum3.065474527
Range4.044451619
Interquartile range (IQR)0.8058197761

Descriptive statistics

Standard deviation1.038441904
Coefficient of variation (CV)2.771953601
Kurtosis1.466407613
Mean0.374624562
Median Absolute Deviation (MAD)0.4282061855
Skewness1.004489863
Sum6.743242117
Variance1.078361587
MonotonicityNot monotonic
2025-03-30T10:47:39.599766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.9276600605 1
 
5.6%
1.368044933 1
 
5.6%
0.4669016025 1
 
5.6%
-0.7274283261 1
 
5.6%
1.06714082 1
 
5.6%
0.5598967003 1
 
5.6%
0.1541540664 1
 
5.6%
1.993503276 1
 
5.6%
-0.09414529118 1
 
5.6%
-0.8267759508 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.9789770918 1
5.6%
-0.9276600605 1
5.6%
-0.8267759508 1
5.6%
-0.7274283261 1
5.6%
-0.1952281447 1
5.6%
ValueCountFrequency (%)
3.065474527 1
5.6%
1.993503276 1
5.6%
1.368044933 1
5.6%
1.06714082 1
5.6%
0.6611842263 1
5.6%

capital_ratio
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.116679584
Minimum-0.9888148404
Maximum2.106869524
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)55.6%
Memory size288.0 B
2025-03-30T10:47:40.101055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9888148404
5-th percentile-0.9871648685
Q1-0.6393271625
median-0.0824182886
Q30.6821728892
95-th percentile1.58812462
Maximum2.106869524
Range3.095684364
Interquartile range (IQR)1.321500052

Descriptive statistics

Standard deviation0.9365217712
Coefficient of variation (CV)8.026440781
Kurtosis-0.5582905553
Mean0.116679584
Median Absolute Deviation (MAD)0.7134060455
Skewness0.6412279894
Sum2.100232512
Variance0.8770730279
MonotonicityNot monotonic
2025-03-30T10:47:40.597803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.203488425 1
 
5.6%
-0.146764297 1
 
5.6%
0.7055507474 1
 
5.6%
1.496581401 1
 
5.6%
-0.8147727766 1
 
5.6%
0.3614779636 1
 
5.6%
-0.08462132186 1
 
5.6%
-0.4609745064 1
 
5.6%
-0.6403882297 1
 
5.6%
0.6120393145 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.9888148404 1
5.6%
-0.986873697 1
5.6%
-0.8889694517 1
5.6%
-0.8147727766 1
5.6%
-0.6403882297 1
5.6%
ValueCountFrequency (%)
2.106869524 1
5.6%
1.496581401 1
5.6%
1.243869513 1
5.6%
1.203488425 1
5.6%
0.7055507474 1
5.6%

cash_lt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04387252667
Minimum-2.819685877
Maximum1.308298167
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:47:41.104974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.819685877
5-th percentile-1.424956332
Q1-0.3068593476
median0.2777475426
Q30.5575550249
95-th percentile1.249456951
Maximum1.308298167
Range4.127984043
Interquartile range (IQR)0.8644143726

Descriptive statistics

Standard deviation0.996493273
Coefficient of variation (CV)22.71337779
Kurtosis2.972290934
Mean0.04387252667
Median Absolute Deviation (MAD)0.3544733966
Skewness-1.46403157
Sum0.78970548
Variance0.992998843
MonotonicityNot monotonic
2025-03-30T10:47:41.605755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.308298167 1
 
5.6%
0.5168170347 1
 
5.6%
0.3628082766 1
 
5.6%
1.043123116 1
 
5.6%
0.2956167388 1
 
5.6%
-1.13763647 1
 
5.6%
0.4329535655 1
 
5.6%
-1.178827589 1
 
5.6%
1.239073208 1
 
5.6%
-0.5170102402 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.819685877 1
5.6%
-1.178827589 1
5.6%
-1.13763647 1
5.6%
-0.5170102402 1
5.6%
-0.3915393978 1
5.6%
ValueCountFrequency (%)
1.308298167 1
5.6%
1.239073208 1
5.6%
1.043123116 1
5.6%
0.6561275962 1
5.6%
0.571134355 1
5.6%

debt_at
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1551165667
Minimum-1.50011983
Maximum1.672286245
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)66.7%
Memory size288.0 B
2025-03-30T10:47:42.061547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.50011983
5-th percentile-1.27755656
Q1-0.8885571273
median-0.2610869738
Q30.4766415369
95-th percentile1.294117797
Maximum1.672286245
Range3.172406076
Interquartile range (IQR)1.365198664

Descriptive statistics

Standard deviation0.9106179786
Coefficient of variation (CV)-5.870539803
Kurtosis-0.6329354129
Mean-0.1551165667
Median Absolute Deviation (MAD)0.7350345981
Skewness0.4423340964
Sum-2.7920982
Variance0.829225103
MonotonicityNot monotonic
2025-03-30T10:47:42.565289image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.001508385269 1
 
5.6%
-0.6580456545 1
 
5.6%
0.4685597991 1
 
5.6%
1.042939179 1
 
5.6%
-0.1661406399 1
 
5.6%
-1.50011983 1
 
5.6%
0.5717058066 1
 
5.6%
-0.1233357184 1
 
5.6%
-1.030910627 1
 
5.6%
-1.238280688 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.50011983 1
5.6%
-1.238280688 1
5.6%
-1.201935932 1
5.6%
-1.030910627 1
5.6%
-0.9653942849 1
5.6%
ValueCountFrequency (%)
1.672286245 1
5.6%
1.227382188 1
5.6%
1.042939179 1
5.6%
0.5717058066 1
5.6%
0.4793354494 1
5.6%

debt_ebitda
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.330906148
Minimum-2.358713848
Maximum1.49353451
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:47:43.095787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.358713848
5-th percentile-2.005620047
Q1-1.127324633
median-0.3096853849
Q30.2536588861
95-th percentile1.472850755
Maximum1.49353451
Range3.852248358
Interquartile range (IQR)1.380983519

Descriptive statistics

Standard deviation1.129572019
Coefficient of variation (CV)-3.413572175
Kurtosis-0.6569908406
Mean-0.330906148
Median Absolute Deviation (MAD)0.7857939419
Skewness-0.09510894432
Sum-5.956310664
Variance1.275932947
MonotonicityNot monotonic
2025-03-30T10:47:43.698828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.2126740161 1
 
5.6%
1.49353451 1
 
5.6%
1.019513438 1
 
5.6%
0.0516657357 1
 
5.6%
-0.596496407 1
 
5.6%
-1.304267374 1
 
5.6%
-0.4827978426 1
 
5.6%
-0.4052034009 1
 
5.6%
-0.3171898691 1
 
5.6%
-1.707686041 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.358713848 1
5.6%
-1.943309376 1
5.6%
-1.707686041 1
5.6%
-1.609507297 1
5.6%
-1.304267374 1
5.6%
ValueCountFrequency (%)
1.49353451 1
5.6%
1.46920068 1
5.6%
1.019513438 1
5.6%
0.7611960008 1
5.6%
0.2673205094 1
5.6%

lt_debt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3954070615
Minimum-2.000576078
Maximum1.653296349
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)66.7%
Memory size288.0 B
2025-03-30T10:47:44.256309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.000576078
5-th percentile-1.811407633
Q1-1.115748129
median-0.2521783195
Q30.07768780336
95-th percentile0.8857055102
Maximum1.653296349
Range3.653872427
Interquartile range (IQR)1.193435933

Descriptive statistics

Standard deviation0.9114255825
Coefficient of variation (CV)-2.305031122
Kurtosis0.2856022614
Mean-0.3954070615
Median Absolute Deviation (MAD)0.5113798021
Skewness0.1660932503
Sum-7.117327108
Variance0.8306965925
MonotonicityNot monotonic
2025-03-30T10:47:44.781495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.653296349 1
 
5.6%
0.09886908913 1
 
5.6%
-2.000576078 1
 
5.6%
-0.332850265 1
 
5.6%
-0.2661862323 1
 
5.6%
-1.778024966 1
 
5.6%
-1.109353653 1
 
5.6%
-0.2381704066 1
 
5.6%
0.3299228068 1
 
5.6%
-0.5099347554 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.000576078 1
5.6%
-1.778024966 1
5.6%
-1.430645718 1
5.6%
-1.125384739 1
5.6%
-1.117879621 1
5.6%
ValueCountFrequency (%)
1.653296349 1
5.6%
0.7502483034 1
5.6%
0.3299228068 1
5.6%
0.1884801585 1
5.6%
0.09886908913 1
5.6%

cash_debt
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08291820183
Minimum-2.310456739
Maximum1.943945897
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:45.321586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.310456739
5-th percentile-1.148686154
Q1-0.3254796481
median0.1881911714
Q30.5213117185
95-th percentile1.768147163
Maximum1.943945897
Range4.254402636
Interquartile range (IQR)0.8467913665

Descriptive statistics

Standard deviation0.9747099236
Coefficient of variation (CV)11.75507792
Kurtosis1.507091582
Mean0.08291820183
Median Absolute Deviation (MAD)0.4624722411
Skewness-0.3471815498
Sum1.492527633
Variance0.9500594351
MonotonicityNot monotonic
2025-03-30T10:47:45.846827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.3428903816 1
 
5.6%
-0.943667815 1
 
5.6%
0.3604556774 1
 
5.6%
0.3789524851 1
 
5.6%
0.3645885045 1
 
5.6%
-0.8387165828 1
 
5.6%
-0.8120561919 1
 
5.6%
0.6812312759 1
 
5.6%
0.6516970348 1
 
5.6%
1.737123857 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.310456739 1
5.6%
-0.943667815 1
5.6%
-0.8387165828 1
5.6%
-0.8120561919 1
5.6%
-0.3428903816 1
5.6%
ValueCountFrequency (%)
1.943945897 1
5.6%
1.737123857 1
5.6%
0.6812312759 1
5.6%
0.6516970348 1
5.6%
0.5687647962 1
5.6%

lt_ppent
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08051306957
Minimum-1.365541855
Maximum1.397422861
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:46.340329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.365541855
5-th percentile-1.284401772
Q1-0.4111207801
median0.2308278512
Q30.5099589599
95-th percentile1.332721573
Maximum1.397422861
Range2.762964716
Interquartile range (IQR)0.9210797401

Descriptive statistics

Standard deviation0.7840872445
Coefficient of variation (CV)9.738633102
Kurtosis-0.3348765259
Mean0.08051306957
Median Absolute Deviation (MAD)0.3376428123
Skewness-0.2648425434
Sum1.449235252
Variance0.614792807
MonotonicityNot monotonic
2025-03-30T10:47:46.866889image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.2884432257 1
 
5.6%
-0.03793469563 1
 
5.6%
-0.5114736563 1
 
5.6%
-0.817036931 1
 
5.6%
0.1962438502 1
 
5.6%
-1.365541855 1
 
5.6%
0.8729879859 1
 
5.6%
-0.7157770938 1
 
5.6%
0.4158269831 1
 
5.6%
-0.1100621517 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.365541855 1
5.6%
-1.270082934 1
5.6%
-0.817036931 1
5.6%
-0.7157770938 1
5.6%
-0.5114736563 1
5.6%
ValueCountFrequency (%)
1.397422861 1
5.6%
1.321303699 1
5.6%
0.8729879859 1
5.6%
0.5652234729 1
5.6%
0.5265853629 1
5.6%

dltt_be
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3162737761
Minimum-1.809961931
Maximum2.158511967
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)38.9%
Memory size288.0 B
2025-03-30T10:47:47.408412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.809961931
5-th percentile-1.075873917
Q1-0.1536825429
median0.2425608994
Q30.7922889983
95-th percentile2.064188863
Maximum2.158511967
Range3.968473898
Interquartile range (IQR)0.9459715412

Descriptive statistics

Standard deviation0.976235358
Coefficient of variation (CV)3.086678162
Kurtosis0.5856956521
Mean0.3162737761
Median Absolute Deviation (MAD)0.5270305081
Skewness0.03075998501
Sum5.692927969
Variance0.9530354741
MonotonicityNot monotonic
2025-03-30T10:47:47.948893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.04780609338 1
 
5.6%
1.346670476 1
 
5.6%
-0.9463289736 1
 
5.6%
0.7984433024 1
 
5.6%
-0.1576526791 1
 
5.6%
-0.2802349303 1
 
5.6%
0.773826086 1
 
5.6%
-1.809961931 1
 
5.6%
2.047543609 1
 
5.6%
0.2480380789 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.809961931 1
5.6%
-0.9463289736 1
5.6%
-0.4553135436 1
5.6%
-0.2802349303 1
5.6%
-0.1576526791 1
5.6%
ValueCountFrequency (%)
2.158511967 1
5.6%
2.047543609 1
5.6%
1.346670476 1
5.6%
0.9296366727 1
5.6%
0.7984433024 1
5.6%

debt_assets
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02897670075
Minimum-2.311163845
Maximum1.353955765
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:48.539466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.311163845
5-th percentile-1.208651874
Q1-0.2420662429
median0.1767524511
Q30.5039743502
95-th percentile0.8281695919
Maximum1.353955765
Range3.66511961
Interquartile range (IQR)0.7460405931

Descriptive statistics

Standard deviation0.8378762394
Coefficient of variation (CV)-28.91551549
Kurtosis2.116290879
Mean-0.02897670075
Median Absolute Deviation (MAD)0.4045143334
Skewness-1.129822235
Sum-0.5215806135
Variance0.7020365926
MonotonicityNot monotonic
2025-03-30T10:47:49.046502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.3013294032 1
 
5.6%
0.1658915307 1
 
5.6%
0.1876133714 1
 
5.6%
-0.05622039885 1
 
5.6%
-0.192904926 1
 
5.6%
0.6557741753 1
 
5.6%
1.353955765 1
 
5.6%
0.6273326442 1
 
5.6%
-0.2563706036 1
 
5.6%
-0.199153161 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.311163845 1
5.6%
-1.014090938 1
5.6%
-0.8878354488 1
5.6%
-0.8685914044 1
5.6%
-0.2563706036 1
5.6%
ValueCountFrequency (%)
1.353955765 1
5.6%
0.7353837966 1
5.6%
0.6557741753 1
5.6%
0.6273326442 1
5.6%
0.533982406 1
5.6%

debt_capital
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4542699656
Minimum-2.033553788
Maximum2.966365795
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:47:49.539315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.033553788
5-th percentile-1.185841209
Q1-0.1078312355
median0.4617981431
Q30.7864808023
95-th percentile2.418713605
Maximum2.966365795
Range4.999919583
Interquartile range (IQR)0.8943120378

Descriptive statistics

Standard deviation1.174407455
Coefficient of variation (CV)2.585263267
Kurtosis0.8581334381
Mean0.4542699656
Median Absolute Deviation (MAD)0.5518871826
Skewness0.1900577854
Sum8.17685938
Variance1.379232871
MonotonicityNot monotonic
2025-03-30T10:47:50.054940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.3803375914 1
 
5.6%
0.4304622156 1
 
5.6%
0.01123570124 1
 
5.6%
-1.036244871 1
 
5.6%
2.322069101 1
 
5.6%
1.12489969 1
 
5.6%
-0.05460464768 1
 
5.6%
2.966365795 1
 
5.6%
0.5910576024 1
 
5.6%
-0.1255734314 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.033553788 1
5.6%
-1.036244871 1
5.6%
-0.6689208439 1
5.6%
-0.2486609572 1
5.6%
-0.1255734314 1
5.6%
ValueCountFrequency (%)
2.966365795 1
5.6%
2.322069101 1
5.6%
1.863027847 1
5.6%
1.12489969 1
5.6%
0.8245448154 1
5.6%

de_ratio
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3050634342
Minimum-1.123326181
Maximum1.810061711
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:50.484955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.123326181
5-th percentile-0.9314851901
Q1-0.4805242106
median0.268104524
Q31.046969873
95-th percentile1.778652834
Maximum1.810061711
Range2.933387891
Interquartile range (IQR)1.527494083

Descriptive statistics

Standard deviation0.9166723376
Coefficient of variation (CV)3.004858121
Kurtosis-1.134260516
Mean0.3050634342
Median Absolute Deviation (MAD)0.820179328
Skewness0.1785097604
Sum5.491141815
Variance0.8402881745
MonotonicityNot monotonic
2025-03-30T10:47:50.898879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.8568280096 1
 
5.6%
1.214877918 1
 
5.6%
-0.8976308976 1
 
5.6%
-0.07264530805 1
 
5.6%
1.810061711 1
 
5.6%
1.393601929 1
 
5.6%
1.773110091 1
 
5.6%
0.5134043682 1
 
5.6%
-0.3320723559 1
 
5.6%
-0.6242028108 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.123326181 1
5.6%
-0.8976308976 1
5.6%
-0.6348273604 1
5.6%
-0.6242028108 1
5.6%
-0.5300081621 1
5.6%
ValueCountFrequency (%)
1.810061711 1
5.6%
1.773110091 1
5.6%
1.393601929 1
5.6%
1.214877918 1
5.6%
1.110350494 1
5.6%

at_turn
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006796558929
Minimum-1.244181216
Maximum1.642011994
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:47:51.358755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.244181216
5-th percentile-1.068943228
Q1-0.4185638446
median-0.02208694263
Q30.4334733063
95-th percentile1.090939108
Maximum1.642011994
Range2.886193209
Interquartile range (IQR)0.8520371509

Descriptive statistics

Standard deviation0.7225581054
Coefficient of variation (CV)106.3123432
Kurtosis0.3257222559
Mean0.006796558929
Median Absolute Deviation (MAD)0.4564942721
Skewness0.3841930067
Sum0.1223380607
Variance0.5220902157
MonotonicityNot monotonic
2025-03-30T10:47:51.789752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.06749798225 1
 
5.6%
-1.244181216 1
 
5.6%
-1.038018877 1
 
5.6%
0.4463715332 1
 
5.6%
0.8155528599 1
 
5.6%
0.02332409699 1
 
5.6%
0.4599815948 1
 
5.6%
-0.2643206917 1
 
5.6%
0.9936909521 1
 
5.6%
0.1055931382 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.244181216 1
5.6%
-1.038018877 1
5.6%
-0.7724680266 1
5.6%
-0.5625784026 1
5.6%
-0.466617011 1
5.6%
ValueCountFrequency (%)
1.642011994 1
5.6%
0.9936909521 1
5.6%
0.8155528599 1
5.6%
0.4599815948 1
5.6%
0.4463715332 1
5.6%

rect_turn
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2673726077
Minimum-0.9458009316
Maximum1.068315537
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:47:52.250433image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9458009316
5-th percentile-0.8788129777
Q1-0.1508941938
median0.35989119
Q30.7978582448
95-th percentile1.006469758
Maximum1.068315537
Range2.014116468
Interquartile range (IQR)0.9487524386

Descriptive statistics

Standard deviation0.6390985506
Coefficient of variation (CV)2.390291795
Kurtosis-0.5688980679
Mean0.2673726077
Median Absolute Deviation (MAD)0.5143024982
Skewness-0.6865846658
Sum4.812706939
Variance0.4084469573
MonotonicityNot monotonic
2025-03-30T10:47:52.816586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.476174009 1
 
5.6%
0.2845608513 1
 
5.6%
0.6295123579 1
 
5.6%
0.3513353511 1
 
5.6%
-0.866991574 1
 
5.6%
1.068315537 1
 
5.6%
0.9955557966 1
 
5.6%
0.8944138359 1
 
5.6%
0.3684470289 1
 
5.6%
0.8539735405 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-0.9458009316 1
5.6%
-0.866991574 1
5.6%
-0.6962432204 1
5.6%
-0.2926175154 1
5.6%
-0.2497809852 1
5.6%
ValueCountFrequency (%)
1.068315537 1
5.6%
0.9955557966 1
5.6%
0.9423007227 1
5.6%
0.8944138359 1
5.6%
0.8539735405 1
5.6%

pay_turn
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2918343645
Minimum-2.441242056
Maximum1.729215143
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)27.8%
Memory size288.0 B
2025-03-30T10:47:53.318085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.441242056
5-th percentile-1.534157932
Q1-0.2121317035
median0.4191499288
Q30.915771666
95-th percentile1.416074365
Maximum1.729215143
Range4.170457199
Interquartile range (IQR)1.12790337

Descriptive statistics

Standard deviation1.039414171
Coefficient of variation (CV)3.561657904
Kurtosis1.59298676
Mean0.2918343645
Median Absolute Deviation (MAD)0.6195587914
Skewness-1.138387709
Sum5.253018561
Variance1.080381819
MonotonicityNot monotonic
2025-03-30T10:47:53.714888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.8459479248 1
 
5.6%
-0.363058048 1
 
5.6%
0.463879206 1
 
5.6%
1.325040128 1
 
5.6%
-0.3035880688 1
 
5.6%
0.3744206515 1
 
5.6%
0.9355295139 1
 
5.6%
0.1798355281 1
 
5.6%
-0.5983517411 1
 
5.6%
0.237684428 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.441242056 1
5.6%
-1.374084264 1
5.6%
-0.5983517411 1
5.6%
-0.363058048 1
5.6%
-0.3035880688 1
5.6%
ValueCountFrequency (%)
1.729215143 1
5.6%
1.360814228 1
5.6%
1.325040128 1
5.6%
1.276323017 1
5.6%
0.9355295139 1
5.6%

sale_invcap
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02365738723
Minimum-1.876832026
Maximum1.399099745
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:47:54.089966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.876832026
5-th percentile-1.769005707
Q1-0.3046443171
median0.04501769268
Q30.8831983079
95-th percentile1.235899151
Maximum1.399099745
Range3.27593177
Interquartile range (IQR)1.187842625

Descriptive statistics

Standard deviation1.025071957
Coefficient of variation (CV)43.32988874
Kurtosis-0.7876972207
Mean0.02365738723
Median Absolute Deviation (MAD)0.8012411243
Skewness-0.5026043711
Sum0.4258329702
Variance1.050772516
MonotonicityNot monotonic
2025-03-30T10:47:54.517452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.749977533 1
 
5.6%
1.097430609 1
 
5.6%
-1.248930084 1
 
5.6%
-1.876832026 1
 
5.6%
-1.189303332 1
 
5.6%
-0.2942890943 1
 
5.6%
0.9201377988 1
 
5.6%
-0.2595863188 1
 
5.6%
-0.2894906305 1
 
5.6%
-0.308096058 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.876832026 1
5.6%
-1.749977533 1
5.6%
-1.248930084 1
5.6%
-1.189303332 1
5.6%
-0.308096058 1
5.6%
ValueCountFrequency (%)
1.399099745 1
5.6%
1.207099046 1
5.6%
1.127209732 1
5.6%
1.097430609 1
5.6%
0.9201377988 1
5.6%

sale_equity
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0776779114
Minimum-3.104605252
Maximum1.063738566
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:54.942307image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.104605252
5-th percentile-1.595840092
Q1-0.5467107577
median0.234950022
Q30.5888604708
95-th percentile0.9315931177
Maximum1.063738566
Range4.168343818
Interquartile range (IQR)1.135571229

Descriptive statistics

Standard deviation1.025644506
Coefficient of variation (CV)-13.20381158
Kurtosis3.343251761
Mean-0.0776779114
Median Absolute Deviation (MAD)0.4876149304
Skewness-1.636635151
Sum-1.398202405
Variance1.051946653
MonotonicityNot monotonic
2025-03-30T10:47:55.893984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.8110081035 1
 
5.6%
0.5901203692 1
 
5.6%
-0.3719157608 1
 
5.6%
0.5831461706 1
 
5.6%
0.5850807756 1
 
5.6%
0.6341218012 1
 
5.6%
-0.8815972406 1
 
5.6%
-0.06347271172 1
 
5.6%
-0.6049757567 1
 
5.6%
-1.329587417 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-3.104605252 1
5.6%
-1.329587417 1
5.6%
-1.012547967 1
5.6%
-0.8815972406 1
5.6%
-0.6049757567 1
5.6%
ValueCountFrequency (%)
1.063738566 1
5.6%
0.9082733326 1
5.6%
0.8110081035 1
5.6%
0.6341218012 1
5.6%
0.5901203692 1
5.6%

rd_sale
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4893846129
Minimum-2.445939224
Maximum1.155982041
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)61.1%
Memory size288.0 B
2025-03-30T10:47:56.312792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.445939224
5-th percentile-2.216599224
Q1-1.282957556
median-0.4072330827
Q30.4702944761
95-th percentile1.097392205
Maximum1.155982041
Range3.601921265
Interquartile range (IQR)1.753252032

Descriptive statistics

Standard deviation1.120980998
Coefficient of variation (CV)-2.29059306
Kurtosis-1.108257054
Mean-0.4893846129
Median Absolute Deviation (MAD)0.9033776147
Skewness-0.2254992542
Sum-8.808923032
Variance1.256598398
MonotonicityNot monotonic
2025-03-30T10:47:56.769441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.155982041 1
 
5.6%
-0.2620754675 1
 
5.6%
-0.5523906979 1
 
5.6%
1.087052822 1
 
5.6%
-1.781272255 1
 
5.6%
-0.847973514 1
 
5.6%
0.1560080121 1
 
5.6%
-0.834471258 1
 
5.6%
0.6212263518 1
 
5.6%
0.483343632 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.445939224 1
5.6%
-2.176127459 1
5.6%
-1.801036182 1
5.6%
-1.781272255 1
5.6%
-1.323411597 1
5.6%
ValueCountFrequency (%)
1.155982041 1
5.6%
1.087052822 1
5.6%
0.6212263518 1
5.6%
0.5396369065 1
5.6%
0.483343632 1
5.6%

adv_sale
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2878156401
Minimum-1.482237222
Maximum1.627645221
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)33.3%
Memory size288.0 B
2025-03-30T10:47:57.200929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.482237222
5-th percentile-1.072356528
Q1-0.2708713679
median0.3543376939
Q31.010278007
95-th percentile1.440530635
Maximum1.627645221
Range3.109882443
Interquartile range (IQR)1.281149374

Descriptive statistics

Standard deviation0.88049015
Coefficient of variation (CV)3.059215787
Kurtosis-0.6352344705
Mean0.2878156401
Median Absolute Deviation (MAD)0.6786462517
Skewness-0.3506845046
Sum5.180681522
Variance0.7752629042
MonotonicityNot monotonic
2025-03-30T10:47:57.615588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.482237222 1
 
5.6%
1.035425434 1
 
5.6%
-0.1178842645 1
 
5.6%
1.304439039 1
 
5.6%
0.1576344355 1
 
5.6%
-0.321867069 1
 
5.6%
1.125270951 1
 
5.6%
0.934835723 1
 
5.6%
1.627645221 1
 
5.6%
-0.7352004572 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.482237222 1
5.6%
-1.00002464 1
5.6%
-0.7352004572 1
5.6%
-0.6151118311 1
5.6%
-0.321867069 1
5.6%
ValueCountFrequency (%)
1.627645221 1
5.6%
1.407510414 1
5.6%
1.304439039 1
5.6%
1.125270951 1
5.6%
1.035425434 1
5.6%

staff_sale
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005661234704
Minimum-1.949645194
Maximum2.186806494
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)50.0%
Memory size288.0 B
2025-03-30T10:47:58.043385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.949645194
5-th percentile-1.19227768
Q1-0.4765323166
median-0.005678321389
Q30.5135615898
95-th percentile1.535322734
Maximum2.186806494
Range4.136451688
Interquartile range (IQR)0.9900939064

Descriptive statistics

Standard deviation0.9586001781
Coefficient of variation (CV)-169.3270511
Kurtosis0.8592842412
Mean-0.005661234704
Median Absolute Deviation (MAD)0.5128424321
Skewness0.3482010157
Sum-0.1019022247
Variance0.9189143014
MonotonicityNot monotonic
2025-03-30T10:47:58.464062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.000228941853 1
 
5.6%
0.02668605057 1
 
5.6%
-0.7286355716 1
 
5.6%
-0.01158558463 1
 
5.6%
2.186806494 1
 
5.6%
0.4671889438 1
 
5.6%
0.1449700259 1
 
5.6%
-1.05862459 1
 
5.6%
0.9327532323 1
 
5.6%
-0.4111351014 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-1.949645194 1
5.6%
-1.05862459 1
5.6%
-0.9727182814 1
5.6%
-0.7286355716 1
5.6%
-0.4966657257 1
5.6%
ValueCountFrequency (%)
2.186806494 1
5.6%
1.420355012 1
5.6%
0.9327532323 1
5.6%
0.574308485 1
5.6%
0.5290191385 1
5.6%

accrual
Real number (ℝ)

Unique 

Distinct18
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.150851672
Minimum-2.240399353
Maximum1.97843692
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)44.4%
Memory size288.0 B
2025-03-30T10:47:58.865380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.240399353
5-th percentile-1.709886127
Q1-0.7400724307
median0.1507649834
Q31.09636633
95-th percentile1.814658916
Maximum1.97843692
Range4.218836274
Interquartile range (IQR)1.836438761

Descriptive statistics

Standard deviation1.187194668
Coefficient of variation (CV)7.869947029
Kurtosis-0.634975091
Mean0.150851672
Median Absolute Deviation (MAD)0.9911254864
Skewness-0.2723503551
Sum2.715330096
Variance1.409431179
MonotonicityNot monotonic
2025-03-30T10:47:59.275743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.9575132619 1
 
5.6%
1.430372534 1
 
5.6%
-0.3320138925 1
 
5.6%
1.97843692 1
 
5.6%
-0.1832816765 1
 
5.6%
-0.8473994592 1
 
5.6%
0.8614245725 1
 
5.6%
1.310523843 1
 
5.6%
0.08546121275 1
 
5.6%
-0.4414888625 1
 
5.6%
Other values (8) 8
44.4%
ValueCountFrequency (%)
-2.240399353 1
5.6%
-1.616266146 1
5.6%
-0.9613395838 1
5.6%
-0.8473994592 1
5.6%
-0.8396002867 1
5.6%
ValueCountFrequency (%)
1.97843692 1
5.6%
1.785756916 1
5.6%
1.430372534 1
5.6%
1.310523843 1
5.6%
1.142650686 1
5.6%
Distinct4
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size288.0 B
2025-03-30T10:47:59.823874image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length108
Median length105
Mean length97.11111111
Min length83

Characters and Unicode

Total characters1748
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowThe company reported a steady increase in revenue, reflecting strong market demand.
2nd rowThe company reported a steady increase in revenue, reflecting strong market demand.
3rd rowThe outlook remains positive, with expected growth in both domestic and international markets.
4th rowChallenges remain in the supply chain, but strategic investments in logistics are improving efficiencies.
5th rowEarnings before interest and taxes improved significantly from last year, driven by cost reduction measures.
ValueCountFrequency (%)
in 19
 
7.9%
the 14
 
5.8%
and 8
 
3.3%
reported 5
 
2.1%
a 5
 
2.1%
steady 5
 
2.1%
increase 5
 
2.1%
company 5
 
2.1%
reflecting 5
 
2.1%
strong 5
 
2.1%
Other values (38) 166
68.6%
2025-03-30T10:48:00.788140image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
12.8%
e 200
11.4%
i 144
 
8.2%
n 136
 
7.8%
t 128
 
7.3%
r 107
 
6.1%
a 103
 
5.9%
s 103
 
5.9%
o 77
 
4.4%
c 60
 
3.4%
Other values (19) 466
26.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1748
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
224
12.8%
e 200
11.4%
i 144
 
8.2%
n 136
 
7.8%
t 128
 
7.3%
r 107
 
6.1%
a 103
 
5.9%
s 103
 
5.9%
o 77
 
4.4%
c 60
 
3.4%
Other values (19) 466
26.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1748
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
224
12.8%
e 200
11.4%
i 144
 
8.2%
n 136
 
7.8%
t 128
 
7.3%
r 107
 
6.1%
a 103
 
5.9%
s 103
 
5.9%
o 77
 
4.4%
c 60
 
3.4%
Other values (19) 466
26.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1748
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
224
12.8%
e 200
11.4%
i 144
 
8.2%
n 136
 
7.8%
t 128
 
7.3%
r 107
 
6.1%
a 103
 
5.9%
s 103
 
5.9%
o 77
 
4.4%
c 60
 
3.4%
Other values (19) 466
26.7%